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Search.setIndex({"docnames": ["chapters/01/1/1/computational-tools", "chapters/01/1/2/statistical-techniques", "chapters/01/1/intro", "chapters/01/2/why-data-science", "chapters/01/3/1/Literary_Characters", "chapters/01/3/2/Another_Kind_Of_Character", "chapters/01/3/Plotting_the_Classics", "chapters/01/what-is-data-science", "chapters/02/1/observation-and-visualization-john-snow-and-the-broad-street-pump", "chapters/02/2/snow-s-grand-experiment", "chapters/02/3/establishing-causality", "chapters/02/4/randomization", "chapters/02/5/endnote", "chapters/02/causality-and-experiments", "chapters/03/1/Expressions", "chapters/03/2/1/Growth", "chapters/03/2/Names", "chapters/03/3/Calls", "chapters/03/4/Introduction_to_Tables", "chapters/03/programming-in-python", "chapters/04/1/Numbers", "chapters/04/2/1/String_Methods", "chapters/04/2/Strings", "chapters/04/3/Comparison", "chapters/04/Data_Types", "chapters/05/1/Arrays", "chapters/05/2/Ranges", "chapters/05/3/More_on_Arrays", "chapters/05/Sequences", "chapters/06/1/Sorting_Rows", "chapters/06/2/Selecting_Rows", "chapters/06/3/Example_Population_Trends", "chapters/06/4/Example_Sex_Ratios", "chapters/06/Tables", "chapters/07/1/Visualizing_Categorical_Distributions", "chapters/07/2/Visualizing_Numerical_Distributions", "chapters/07/3/Overlaid_Graphs", "chapters/07/Visualization", "chapters/08/1/Applying_a_Function_to_a_Column", "chapters/08/2/Classifying_by_One_Variable", "chapters/08/3/Cross-Classifying_by_More_than_One_Variable", "chapters/08/4/Joining_Tables_by_Columns", "chapters/08/5/Bike_Sharing_in_the_Bay_Area", "chapters/08/Functions_and_Tables", "chapters/09/1/Conditional_Statements", "chapters/09/2/Iteration", "chapters/09/3/Simulation", "chapters/09/4/Monty_Hall_Problem", "chapters/09/5/Finding_Probabilities", "chapters/09/Randomness", "chapters/10/1/Empirical_Distributions", "chapters/10/2/Sampling_from_a_Population", "chapters/10/3/Empirical_Distribution_of_a_Statistic", "chapters/10/4/Random_Sampling_in_Python", "chapters/10/Sampling_and_Empirical_Distributions", "chapters/11/1/Assessing_a_Model", "chapters/11/2/Multiple_Categories", "chapters/11/3/Decisions_and_Uncertainty", "chapters/11/4/Error_Probabilities", "chapters/11/Testing_Hypotheses", "chapters/12/1/AB_Testing", "chapters/12/2/Causality", "chapters/12/3/Deflategate", "chapters/12/Comparing_Two_Samples", "chapters/13/1/Percentiles", "chapters/13/2/Bootstrap", "chapters/13/3/Confidence_Intervals", "chapters/13/4/Using_Confidence_Intervals", "chapters/13/Estimation", "chapters/14/1/Properties_of_the_Mean", "chapters/14/2/Variability", "chapters/14/3/SD_and_the_Normal_Curve", "chapters/14/4/Central_Limit_Theorem", "chapters/14/5/Variability_of_the_Sample_Mean", "chapters/14/6/Choosing_a_Sample_Size", "chapters/14/Why_the_Mean_Matters", "chapters/15/1/Correlation", "chapters/15/2/Regression_Line", "chapters/15/3/Method_of_Least_Squares", "chapters/15/4/Least_Squares_Regression", "chapters/15/5/Visual_Diagnostics", "chapters/15/6/Numerical_Diagnostics", "chapters/15/Prediction", "chapters/16/1/Regression_Model", "chapters/16/2/Inference_for_the_True_Slope", "chapters/16/3/Prediction_Intervals", "chapters/16/Inference_for_Regression", "chapters/17/1/Nearest_Neighbors", "chapters/17/2/Training_and_Testing", "chapters/17/3/Rows_of_Tables", "chapters/17/4/Implementing_the_Classifier", "chapters/17/5/Accuracy_of_the_Classifier", "chapters/17/6/Multiple_Regression", "chapters/17/Classification", "chapters/18/1/More_Likely_than_Not_Binary_Classifier", "chapters/18/2/Making_Decisions", "chapters/18/Updating_Predictions", "chapters/intro"], "filenames": ["chapters/01/1/1/computational-tools.md", "chapters/01/1/2/statistical-techniques.md", "chapters/01/1/intro.md", "chapters/01/2/why-data-science.md", "chapters/01/3/1/Literary_Characters.ipynb", "chapters/01/3/2/Another_Kind_Of_Character.ipynb", "chapters/01/3/Plotting_the_Classics.ipynb", "chapters/01/what-is-data-science.md", "chapters/02/1/observation-and-visualization-john-snow-and-the-broad-street-pump.md", "chapters/02/2/snow-s-grand-experiment.md", "chapters/02/3/establishing-causality.md", "chapters/02/4/randomization.md", "chapters/02/5/endnote.md", "chapters/02/causality-and-experiments.md", "chapters/03/1/Expressions.ipynb", "chapters/03/2/1/Growth.ipynb", "chapters/03/2/Names.ipynb", "chapters/03/3/Calls.ipynb", "chapters/03/4/Introduction_to_Tables.ipynb", "chapters/03/programming-in-python.md", "chapters/04/1/Numbers.ipynb", "chapters/04/2/1/String_Methods.ipynb", "chapters/04/2/Strings.ipynb", "chapters/04/3/Comparison.ipynb", "chapters/04/Data_Types.ipynb", "chapters/05/1/Arrays.ipynb", "chapters/05/2/Ranges.ipynb", "chapters/05/3/More_on_Arrays.ipynb", "chapters/05/Sequences.ipynb", "chapters/06/1/Sorting_Rows.ipynb", "chapters/06/2/Selecting_Rows.ipynb", "chapters/06/3/Example_Population_Trends.ipynb", "chapters/06/4/Example_Sex_Ratios.ipynb", "chapters/06/Tables.ipynb", "chapters/07/1/Visualizing_Categorical_Distributions.ipynb", "chapters/07/2/Visualizing_Numerical_Distributions.ipynb", "chapters/07/3/Overlaid_Graphs.ipynb", "chapters/07/Visualization.ipynb", "chapters/08/1/Applying_a_Function_to_a_Column.ipynb", "chapters/08/2/Classifying_by_One_Variable.ipynb", "chapters/08/3/Cross-Classifying_by_More_than_One_Variable.ipynb", "chapters/08/4/Joining_Tables_by_Columns.ipynb", "chapters/08/5/Bike_Sharing_in_the_Bay_Area.ipynb", "chapters/08/Functions_and_Tables.ipynb", "chapters/09/1/Conditional_Statements.ipynb", "chapters/09/2/Iteration.ipynb", "chapters/09/3/Simulation.ipynb", "chapters/09/4/Monty_Hall_Problem.ipynb", "chapters/09/5/Finding_Probabilities.ipynb", "chapters/09/Randomness.ipynb", "chapters/10/1/Empirical_Distributions.ipynb", "chapters/10/2/Sampling_from_a_Population.ipynb", "chapters/10/3/Empirical_Distribution_of_a_Statistic.ipynb", "chapters/10/4/Random_Sampling_in_Python.ipynb", "chapters/10/Sampling_and_Empirical_Distributions.ipynb", "chapters/11/1/Assessing_a_Model.ipynb", "chapters/11/2/Multiple_Categories.ipynb", "chapters/11/3/Decisions_and_Uncertainty.ipynb", "chapters/11/4/Error_Probabilities.ipynb", "chapters/11/Testing_Hypotheses.ipynb", "chapters/12/1/AB_Testing.ipynb", "chapters/12/2/Causality.ipynb", "chapters/12/3/Deflategate.ipynb", "chapters/12/Comparing_Two_Samples.ipynb", "chapters/13/1/Percentiles.ipynb", "chapters/13/2/Bootstrap.ipynb", "chapters/13/3/Confidence_Intervals.ipynb", "chapters/13/4/Using_Confidence_Intervals.ipynb", "chapters/13/Estimation.ipynb", "chapters/14/1/Properties_of_the_Mean.ipynb", "chapters/14/2/Variability.ipynb", "chapters/14/3/SD_and_the_Normal_Curve.ipynb", "chapters/14/4/Central_Limit_Theorem.ipynb", "chapters/14/5/Variability_of_the_Sample_Mean.ipynb", "chapters/14/6/Choosing_a_Sample_Size.ipynb", "chapters/14/Why_the_Mean_Matters.ipynb", "chapters/15/1/Correlation.ipynb", "chapters/15/2/Regression_Line.ipynb", "chapters/15/3/Method_of_Least_Squares.ipynb", "chapters/15/4/Least_Squares_Regression.ipynb", "chapters/15/5/Visual_Diagnostics.ipynb", "chapters/15/6/Numerical_Diagnostics.ipynb", "chapters/15/Prediction.ipynb", "chapters/16/1/Regression_Model.ipynb", "chapters/16/2/Inference_for_the_True_Slope.ipynb", "chapters/16/3/Prediction_Intervals.ipynb", "chapters/16/Inference_for_Regression.ipynb", "chapters/17/1/Nearest_Neighbors.ipynb", "chapters/17/2/Training_and_Testing.ipynb", "chapters/17/3/Rows_of_Tables.ipynb", "chapters/17/4/Implementing_the_Classifier.ipynb", "chapters/17/5/Accuracy_of_the_Classifier.ipynb", "chapters/17/6/Multiple_Regression.ipynb", "chapters/17/Classification.ipynb", "chapters/18/1/More_Likely_than_Not_Binary_Classifier.ipynb", "chapters/18/2/Making_Decisions.ipynb", "chapters/18/Updating_Predictions.ipynb", "chapters/intro.md"], "titles": ["<span class=\"section-number\">1.1.1. </span>Computational Tools", "<span class=\"section-number\">1.1.2. </span>Statistical Techniques", "<span class=\"section-number\">1.1. </span>Chapter 1: Introduction", "<span class=\"section-number\">1.2. </span>Why Data Science?", "<span class=\"section-number\">1.3.1. </span>Literary Characters", "<span class=\"section-number\">1.3.2. </span>Another Kind of Character", "<span class=\"section-number\">1.3. </span>Plotting the classics", "<span class=\"section-number\">1. </span>What is Data Science?", "<span class=\"section-number\">2.1. </span>Observation and Visualization: John Snow and the Broad Street Pump", "<span class=\"section-number\">2.2. </span>Snow\u2019s \u201cGrand Experiment\u201d", "<span class=\"section-number\">2.3. </span>Establishing Causality", "<span class=\"section-number\">2.4. </span>Randomization", "<span class=\"section-number\">2.5. </span>Terminology and Further Reading", "<span class=\"section-number\">2. </span>Causality and Experiments", "<span class=\"section-number\">3.1. </span>Expressions", "<span class=\"section-number\">3.2.1. </span>Example: Growth Rates", "<span class=\"section-number\">3.2. </span>Names", "<span class=\"section-number\">3.3. </span>Call Expressions", "<span class=\"section-number\">3.4. </span>Introduction to Tables", "<span class=\"section-number\">3. </span>Programming in Python", "<span class=\"section-number\">4.1. </span>Numbers", "<span class=\"section-number\">4.2.1. </span>String Methods", "<span class=\"section-number\">4.2. </span>Strings", "<span class=\"section-number\">4.3. </span>Comparisons", "<span class=\"section-number\">4. </span>Data Types", "<span class=\"section-number\">5.1. </span>Arrays", "<span class=\"section-number\">5.2. </span>Ranges", "<span class=\"section-number\">5.3. </span>More on Arrays", "<span class=\"section-number\">5. </span>Sequences", "<span class=\"section-number\">6.1. </span>Sorting Rows", "<span class=\"section-number\">6.2. </span>Selecting Rows", "<span class=\"section-number\">6.3. </span>Example: Population Trends", "<span class=\"section-number\">6.4. </span>Example: Sex Ratios", "<span class=\"section-number\">6. </span>Tables", "<span class=\"section-number\">7.1. </span>Visualizing Categorical Distributions", "<span class=\"section-number\">7.2. </span>Visualizing Numerical Distributions", "<span class=\"section-number\">7.3. </span>Overlaid Graphs", "<span class=\"section-number\">7. </span>Visualization", "<span class=\"section-number\">8.1. </span>Applying a Function to a Column", "<span class=\"section-number\">8.2. </span>Classifying by One Variable", "<span class=\"section-number\">8.3. </span>Cross-Classifying by More than One Variable", "<span class=\"section-number\">8.4. </span>Joining Tables by Columns", "<span class=\"section-number\">8.5. </span>Bike Sharing in the Bay Area", "<span class=\"section-number\">8. </span>Functions and Tables", "<span class=\"section-number\">9.1. </span>Conditional Statements", "<span class=\"section-number\">9.2. </span>Iteration", "<span class=\"section-number\">9.3. </span>Simulation", "<span class=\"section-number\">9.4. </span>The Monty Hall Problem", "<span class=\"section-number\">9.5. </span>Finding Probabilities", "<span class=\"section-number\">9. </span>Randomness", "<span class=\"section-number\">10.1. </span>Empirical Distributions", "<span class=\"section-number\">10.2. </span>Sampling from a Population", "<span class=\"section-number\">10.3. </span>Empirical Distribution of a Statistic", "<span class=\"section-number\">10.4. </span>Random Sampling in Python", "<span class=\"section-number\">10. </span>Sampling and Empirical Distributions", "<span class=\"section-number\">11.1. </span>Assessing a Model", "<span class=\"section-number\">11.2. </span>Multiple Categories", "<span class=\"section-number\">11.3. </span>Decisions and Uncertainty", "<span class=\"section-number\">11.4. </span>Error Probabilities", "<span class=\"section-number\">11. </span>Testing Hypotheses", "<span class=\"section-number\">12.1. </span>A/B Testing", "<span class=\"section-number\">12.2. </span>Causality", "<span class=\"section-number\">12.3. </span>Deflategate", "<span class=\"section-number\">12. </span>Comparing Two Samples", "<span class=\"section-number\">13.1. </span>Percentiles", "<span class=\"section-number\">13.2. </span>The Bootstrap", "<span class=\"section-number\">13.3. </span>Confidence Intervals", "<span class=\"section-number\">13.4. </span>Using Confidence Intervals", "<span class=\"section-number\">13. </span>Estimation", "<span class=\"section-number\">14.1. </span>Properties of the Mean", "<span class=\"section-number\">14.2. </span>Variability", "<span class=\"section-number\">14.3. </span>The SD and the Normal Curve", "<span class=\"section-number\">14.4. </span>The Central Limit Theorem", "<span class=\"section-number\">14.5. </span>The Variability of the Sample Mean", "<span class=\"section-number\">14.6. </span>Choosing a Sample Size", "<span class=\"section-number\">14. </span>Why the Mean Matters", "<span class=\"section-number\">15.1. </span>Correlation", "<span class=\"section-number\">15.2. </span>The Regression Line", "<span class=\"section-number\">15.3. </span>The Method of Least Squares", "<span class=\"section-number\">15.4. </span>Least Squares Regression", "<span class=\"section-number\">15.5. </span>Visual Diagnostics", "<span class=\"section-number\">15.6. </span>Numerical Diagnostics", "<span class=\"section-number\">15. </span>Prediction", "<span class=\"section-number\">16.1. </span>A Regression Model", "<span class=\"section-number\">16.2. </span>Inference for the True Slope", "<span class=\"section-number\">16.3. </span>Prediction Intervals", "<span class=\"section-number\">16. </span>Inference for Regression", "<span class=\"section-number\">17.1. </span>Nearest Neighbors", "<span class=\"section-number\">17.2. </span>Training and Testing", "<span class=\"section-number\">17.3. 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89, 92, 95], "collect": [2, 17, 19, 25, 28, 34, 38, 40, 44, 45, 46, 47, 52, 55, 56, 57, 60, 61, 62, 64, 65, 66, 69, 72, 84, 87, 92, 93], "through": [2, 7, 19, 25, 29, 31, 32, 34, 36, 37, 46, 50, 54, 55, 57, 77, 78, 79, 81, 83, 84, 85, 86, 87, 90], "store": [2, 17, 18, 43], "properti": [2, 15, 35, 52, 54, 70, 71, 75, 81], "There": [2, 8, 12, 20, 30, 31, 32, 34, 35, 39, 40, 42, 43, 44, 47, 48, 51, 52, 58, 60, 61, 64, 65, 66, 70, 72, 73, 76, 78, 80, 87, 88, 90, 91, 92, 94, 95], "three": [2, 4, 6, 11, 13, 17, 18, 26, 29, 32, 34, 35, 39, 40, 41, 45, 47, 48, 54, 61, 73, 76, 77, 79, 83, 88, 89, 90, 94], "aspect": [2, 3, 10, 33, 35, 43, 46, 55, 57, 82], "effect": [2, 3, 10, 11, 13, 17, 30, 33, 35, 36, 37, 39, 55, 56, 58, 61, 67, 72, 75, 76, 87, 90, 91, 92, 95], "analysi": [2, 3, 7, 9, 10, 13, 19, 31, 33, 37, 38, 40, 41, 49, 56, 57, 62, 69, 70, 77, 80, 84, 86, 92], "explor": [2, 5, 6, 7, 18, 24, 31, 37, 43, 46, 66, 78, 88, 92], "approach": [2, 37, 38, 78, 82, 88, 90, 91, 92], "introduc": [2, 14, 17, 18, 42, 50, 53, 93], "statist": [2, 6, 7, 51, 58, 65, 66, 67, 68, 69, 71, 72, 75, 77], "idea": [2, 11, 40, 49, 51, 57, 58, 60, 65, 66, 70, 73, 87, 88, 90, 91, 93], "concurr": 2, "focu": [2, 6, 11, 31, 32, 37, 38, 40, 42, 55, 56, 65, 87, 89, 92, 93], "minim": [2, 67, 75, 79, 92], "techniqu": [2, 3, 7, 43, 45, 56, 67, 90, 91, 92, 93, 94], "foundat": [2, 36], "onli": [2, 3, 9, 10, 15, 16, 18, 20, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 48, 49, 53, 54, 55, 56, 57, 60, 61, 64, 65, 66, 69, 70, 72, 73, 74, 75, 76, 77, 78, 86, 88, 89, 90, 91, 92, 93, 94, 95], "understand": [2, 6, 7, 10, 17, 30, 32, 34, 35, 37, 38, 41, 43, 49, 52, 54, 56, 57, 61, 65, 69, 76, 77, 78, 89], "also": [2, 5, 7, 8, 10, 11, 14, 15, 18, 21, 22, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 61, 64, 65, 66, 67, 69, 70, 71, 73, 75, 76, 77, 78, 80, 81, 85, 89, 92, 93, 94, 95, 96], "recogn": [2, 43, 57, 78], "thei": [2, 8, 9, 11, 13, 14, 15, 18, 20, 22, 23, 32, 33, 34, 35, 37, 40, 41, 43, 44, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 65, 66, 67, 68, 69, 70, 72, 73, 74, 76, 77, 78, 79, 80, 81, 87, 89, 90, 91, 93, 94, 95], "scenario": [2, 38, 96], "For": [2, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 20, 21, 23, 25, 27, 28, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95], "whatev": [2, 9], "studi": [2, 3, 7, 8, 10, 11, 12, 13, 18, 19, 32, 35, 37, 40, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61, 65, 67, 69, 70, 72, 75, 77, 79, 82, 91, 92], "whether": [2, 10, 11, 13, 25, 30, 32, 38, 47, 49, 53, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66, 67, 70, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96], "s": [2, 4, 5, 8, 10, 11, 12, 13, 14, 16, 17, 18, 21, 22, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 55, 56, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 71, 72, 73, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 88, 90, 91, 92, 93, 94, 95], "earth": [2, 28, 65], "weather": [2, 8], "market": [2, 42, 92], "polit": [2, 53, 56, 62, 93], "poll": [2, 49, 74], "human": [2, 10, 13, 14, 32, 57, 61, 87], "mind": [2, 8, 32, 35, 45, 56, 57, 61, 66, 77, 90, 91, 95], "typic": [2, 15, 16, 31, 43, 45, 46, 55, 56, 57, 65, 66, 67, 70, 78, 84, 85, 91, 92, 95], "offer": [2, 88], "an": [2, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 59, 60, 61, 62, 64, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 84, 85, 87, 88, 90, 91, 92, 93, 94, 95], "subject": [2, 48, 55, 56, 57], "hand": [2, 5, 13, 34, 35, 37, 40, 45, 50, 51, 54, 55, 65, 69, 70, 71, 72, 78, 87], "central": [2, 4, 7, 14, 66, 74], "make": [2, 3, 5, 6, 7, 8, 10, 11, 13, 16, 25, 27, 30, 33, 34, 35, 36, 38, 40, 41, 42, 44, 46, 47, 48, 49, 50, 54, 55, 57, 58, 59, 60, 62, 65, 68, 70, 72, 74, 76, 77, 78, 79, 80, 82, 85, 87, 88, 90, 91, 92, 93], "reliabl": [2, 3, 20, 46], "partial": [2, 3], "In": [2, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 90, 92, 93, 94, 95], "endeavor": [2, 3], "two": [2, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15, 17, 18, 20, 21, 22, 23, 26, 27, 32, 33, 34, 35, 36, 37, 38, 39, 41, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 55, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 80, 81, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96], "essenti": [2, 14, 32, 58, 71, 73, 78], "tool": [2, 3, 7, 8, 42, 48, 52, 55, 68, 75, 78, 96], "random": [2, 12, 44, 45, 46, 47, 48, 50, 51, 52, 54, 57, 58, 59, 60, 62, 63, 66, 67, 68, 69, 72, 73, 74, 75, 76, 83, 84, 85, 86, 87, 88, 89, 91, 92, 94, 95], "exampl": [2, 5, 6, 8, 10, 11, 12, 13, 14, 16, 17, 20, 21, 23, 25, 29, 30, 33, 34, 35, 36, 37, 41, 43, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66, 67, 68, 71, 72, 74, 76, 78, 79, 80, 81, 84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96], "mai": [2, 3, 6, 11, 20, 26, 35, 37, 41, 43, 56, 57, 65, 76, 80, 90, 91, 92], "want": [2, 6, 8, 11, 18, 26, 27, 30, 33, 35, 36, 37, 38, 39, 41, 43, 44, 45, 46, 47, 48, 49, 53, 54, 57, 58, 60, 63, 65, 66, 67, 68, 70, 71, 74, 78, 79, 85, 87, 88, 89, 90, 91, 92, 93, 96], "climat": [2, 82], "chang": [2, 14, 15, 16, 17, 18, 21, 29, 32, 33, 34, 38, 41, 42, 44, 45, 47, 56, 57, 59, 60, 61, 65, 71, 72, 74, 76, 77, 78, 87, 90, 94, 95], "trend": [2, 32, 37, 76, 80], "temperatur": [2, 25, 27, 28, 82], "allow": [2, 5, 7, 11, 13, 22, 28, 29, 34, 35, 36, 40, 41, 43, 44, 48, 53, 57, 65, 70, 77, 79, 80, 84, 85], "rather": [2, 17, 29, 35, 57, 70, 71, 78, 81, 87, 92], "than": [2, 5, 7, 8, 10, 11, 14, 15, 16, 17, 18, 20, 23, 27, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 84, 85, 87, 88, 89, 90, 91, 92, 93, 95], "region": [2, 9, 55, 56, 88], "consid": [2, 32, 33, 35, 56, 57, 61, 64, 76, 77], "whole": [2, 20, 23, 25, 26, 35, 43, 47, 49, 65, 92], "construct": [2, 21, 22, 33, 34, 65, 67, 70, 74, 84, 85, 88, 95], "more": [2, 5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 29, 31, 32, 33, 34, 35, 36, 37, 39, 41, 43, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 65, 66, 67, 70, 71, 72, 73, 74, 76, 77, 78, 80, 81, 84, 85, 87, 89, 90, 92, 95], "nuanc": 2, "which": [2, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 25, 26, 28, 30, 31, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 63, 64, 65, 66, 67, 69, 70, 71, 72, 74, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95], "might": [2, 5, 8, 9, 10, 11, 13, 29, 30, 35, 37, 38, 41, 46, 47, 48, 50, 53, 54, 55, 56, 57, 58, 61, 62, 63, 65, 66, 67, 68, 69, 70, 76, 77, 79, 84, 85, 86, 87, 88, 90, 91, 92, 93, 95], "assum": [2, 26, 39, 47, 49, 50, 56, 62, 64, 74, 80, 85, 88, 90, 93, 94], "vari": [2, 5, 32, 36, 37, 50, 52, 54, 55, 56, 60, 65, 66, 72, 73, 74, 76, 83, 85, 87], "particular": [2, 7, 30, 31, 38, 43, 46, 48, 56, 57, 58, 64, 67, 68, 87, 89, 92, 93, 95], "imagin": [2, 8, 54, 61, 69, 95], "possibl": [2, 8, 11, 29, 33, 40, 42, 45, 46, 48, 49, 50, 52, 54, 55, 56, 57, 58, 61, 62, 65, 66, 70, 72, 73, 74, 78, 93, 94], "so": [2, 4, 5, 6, 8, 11, 14, 15, 17, 18, 20, 21, 22, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 83, 84, 85, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96], "interleav": 2, "prior": [2, 94], "knowledg": [2, 11, 72, 94], "reader": [2, 17, 57], "find": [2, 4, 18, 20, 25, 27, 30, 32, 34, 35, 41, 42, 43, 47, 53, 55, 56, 57, 58, 60, 61, 64, 70, 71, 74, 77, 78, 79, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 96], "cover": [2, 65], "sever": [2, 8, 18, 28, 45, 46, 47, 48, 49, 56, 61, 62, 63, 65, 71, 75, 76, 91, 92, 93], "topic": [2, 34, 62, 77], "appear": [2, 4, 5, 7, 14, 17, 18, 20, 25, 28, 29, 31, 33, 34, 35, 38, 40, 41, 42, 44, 45, 47, 48, 50, 51, 53, 56, 60, 61, 65, 69, 71, 72, 73, 76, 79, 80, 90, 92], "introductori": 2, "curriculum": 2, "care": [2, 8, 10, 11, 12, 13, 19, 35, 43, 49, 54, 57, 61, 64, 86, 88, 90, 93], "reason": [2, 3, 11, 19, 31, 32, 35, 37, 38, 44, 47, 55, 57, 58, 60, 62, 65, 66, 67, 68, 69, 72, 77, 78, 80, 82, 84, 85, 87, 92, 94, 95], "doe": [2, 4, 10, 11, 13, 20, 26, 30, 32, 33, 34, 35, 38, 41, 42, 43, 44, 45, 47, 50, 53, 55, 56, 57, 58, 60, 61, 62, 65, 67, 69, 70, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 88, 90, 91, 92, 93, 95], "background": 2, "mathemat": [2, 11, 17, 52, 71, 76, 77, 78, 79, 81], "beyond": [2, 56, 57, 78], "basic": [2, 14, 39, 71, 91], "algebra": [2, 14, 76], "veri": [2, 5, 8, 11, 18, 20, 26, 29, 33, 34, 35, 36, 37, 38, 42, 45, 50, 52, 55, 57, 61, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 84, 87, 88, 89, 90, 91, 92, 95], "instead": [2, 6, 8, 14, 16, 17, 18, 30, 33, 35, 38, 45, 47, 48, 49, 55, 57, 66, 69, 72, 76, 79, 80, 87, 88, 89, 90, 91, 92], "them": [2, 3, 4, 6, 8, 11, 14, 16, 20, 21, 26, 27, 28, 31, 32, 33, 35, 36, 40, 42, 44, 46, 48, 52, 55, 56, 60, 61, 63, 65, 66, 70, 73, 75, 77, 81, 82, 83, 84, 85, 87, 88, 89, 90, 91, 92, 93, 94, 95], "decis": [3, 5, 13, 32, 47, 55, 58, 76, 88, 90], "made": [3, 10, 14, 30, 33, 34, 35, 49, 51, 57, 58, 62, 69, 72, 82, 85, 91], "uncertain": [3, 5], "outcom": [3, 8, 10, 12, 13, 38, 40, 45, 46, 47, 49, 57, 58, 63, 94, 95], "howev": [3, 5, 8, 11, 16, 25, 31, 32, 33, 35, 37, 40, 43, 55, 56, 57, 58, 62, 66, 67, 70, 71, 72, 76, 80, 83, 87, 89, 90, 92], "degre": [3, 7, 28, 35, 40, 41, 48, 76, 77], "uncertainti": [3, 48, 59], "reduc": [3, 10, 32, 56, 58, 60, 61, 62, 72, 87, 94], "sharpli": [3, 4, 37], "larg": [3, 4, 7, 9, 20, 26, 27, 31, 33, 34, 35, 36, 37, 40, 42, 50, 51, 52, 54, 55, 56, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 72, 73, 74, 75, 78, 83, 84, 92, 95], "driven": [3, 37], "transform": [3, 54], "tremend": 3, "breadth": 3, "industri": 3, "financ": [3, 11, 65], "advertis": 3, "estat": 3, "At": [3, 8, 29, 32, 37, 40, 44, 46, 47, 55, 62, 65, 66, 67, 70, 80], "time": [3, 4, 8, 9, 10, 12, 13, 14, 15, 17, 21, 25, 27, 30, 32, 33, 34, 35, 36, 37, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 76, 77, 81, 83, 84, 87, 88, 89, 90, 93, 94, 95], "academ": 3, "evolv": [3, 38], "rapidli": [3, 38, 48], "incorpor": [3, 91, 95], "scale": [3, 18, 29, 36, 42, 50, 57, 60, 70, 71, 76, 77, 80, 87], "theori": [3, 8, 12, 46, 62, 65, 66, 67, 72, 73, 74], "practic": [3, 12, 56, 57, 64, 65, 67, 81, 93], "individu": [3, 8, 11, 13, 18, 32, 34, 35, 37, 38, 39, 40, 41, 44, 48, 49, 51, 53, 54, 56, 61, 72, 74, 77, 85, 86, 87, 88, 89, 90, 92, 93, 95], "bring": [3, 17], "bear": 3, "critic": [3, 76], "think": [3, 4, 10, 13, 30, 35, 37, 38, 41, 48, 51, 54, 55, 57, 61, 68, 69, 71, 77, 86, 87, 90, 94, 95], "hallmark": 3, "rigor": 3, "educ": [3, 11, 35, 55], "critiqu": 3, "when": [3, 4, 6, 8, 10, 11, 17, 18, 20, 25, 26, 27, 29, 32, 33, 34, 35, 37, 38, 40, 43, 44, 45, 46, 47, 50, 51, 52, 54, 55, 56, 57, 58, 60, 62, 64, 65, 69, 70, 71, 72, 73, 74, 76, 77, 78, 80, 81, 84, 87, 88, 90, 91, 92, 93, 94, 95], "busi": [3, 37, 55, 65], "social": [3, 55, 56], "involv": [3, 4, 5, 7, 8, 11, 13, 14, 16, 18, 20, 27, 29, 32, 33, 36, 37, 39, 40, 46, 47, 49, 54, 55, 57, 58, 61, 66, 92, 93, 94, 95], "induct": 3, "rare": [3, 20, 51, 56, 66, 72, 75], "proven": 3, "outright": 3, "evid": [3, 8, 20, 29, 55, 56, 61, 80, 84], "mean": [3, 5, 6, 11, 14, 16, 22, 25, 28, 29, 32, 34, 35, 38, 39, 41, 46, 48, 49, 50, 51, 52, 54, 55, 56, 58, 60, 61, 62, 65, 66, 67, 70, 71, 72, 74, 76, 77, 79, 80, 81, 82, 83, 85, 86, 87, 90, 91, 92, 93, 95], "quantit": [3, 20, 35, 37, 55, 87, 92], "argument": [3, 8, 17, 18, 21, 25, 26, 30, 34, 35, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 49, 50, 51, 53, 54, 55, 60, 61, 62, 64, 65, 71, 72, 73, 74, 76, 77, 78, 79, 82, 83, 84, 85, 89, 90, 92, 95], "With": [3, 33, 49, 54, 58, 88, 90], "unpreced": 3, "measur": [3, 13, 15, 35, 36, 37, 39, 41, 48, 54, 56, 62, 65, 66, 67, 69, 71, 73, 75, 78, 79, 80, 81, 82, 87, 89, 90, 92, 93], "would": [3, 5, 9, 10, 12, 13, 29, 30, 34, 35, 38, 39, 40, 41, 42, 45, 46, 49, 52, 55, 56, 57, 58, 61, 62, 63, 65, 66, 67, 69, 72, 74, 76, 78, 80, 83, 84, 85, 86, 87, 89, 90, 92, 93, 94, 95], "without": [3, 6, 11, 18, 22, 33, 35, 38, 43, 44, 45, 48, 50, 52, 53, 54, 55, 56, 57, 60, 61, 65, 72, 76, 87, 89], "unansw": 3, "question": [3, 5, 7, 8, 12, 13, 31, 32, 46, 48, 49, 53, 55, 56, 57, 59, 60, 61, 62, 63, 68, 70, 72, 74, 75, 78, 82, 84, 86, 90, 93], "difficult": [3, 10, 18, 29, 32, 37, 43, 52, 70], "leav": [3, 18, 33, 39, 61], "specialist": 3, "member": [3, 32, 55, 95], "societi": [3, 32, 55, 56], "build": [3, 42, 43, 88, 89, 90, 91], "capac": [3, 52], "readili": 3, "aim": [3, 11, 60], "everyon": [3, 6, 32, 36, 47, 56], "adventur": [4, 6], "huckleberri": [4, 5, 6], "finn": [4, 5, 6], "journei": [4, 65], "huck": [4, 5], "jim": 4, "mississippi": 4, "river": [4, 9], "tom": [4, 37, 53], "sawyer": 4, "toward": [4, 8, 35, 57, 61, 65, 71, 80], "end": [4, 8, 10, 12, 18, 25, 26, 29, 30, 31, 32, 35, 37, 42, 43, 44, 45, 47, 48, 55, 58, 62, 65, 66, 69, 74, 79, 80, 84, 85, 87, 91, 94], "action": [4, 37, 44, 45, 63, 73], "heat": [4, 18, 29, 30], "up": [4, 6, 10, 14, 16, 17, 22, 26, 27, 31, 32, 33, 34, 35, 36, 39, 43, 46, 47, 48, 52, 53, 55, 56, 57, 58, 61, 62, 64, 65, 67, 68, 71, 73, 74, 87, 88, 90, 91, 92, 93, 95], "load": [4, 6, 42, 90], "quickli": [4, 80], "each": [4, 5, 6, 8, 9, 10, 11, 13, 14, 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14, 18, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 46, 47, 48, 49, 51, 52, 54, 55, 56, 57, 64, 65, 66, 69, 70, 71, 72, 76, 77, 79, 81, 82, 84, 85, 87, 89, 90, 91, 92, 93, 95, 96], "cri": 4, "me": [4, 6, 91], "burden": 4, "oh": 4, "dear": 4, "hard": [4, 12, 34, 35, 55, 61, 65, 78, 90], "seem": [4, 35, 50, 55, 57, 60, 62, 67, 73, 76, 79, 84, 85, 87, 89, 90, 91, 95], "five": [4, 27, 30, 39, 42, 45, 64, 70, 85, 89, 90, 92], "BEING": 4, "neighborli": 4, "what": [4, 6, 8, 9, 11, 13, 14, 18, 19, 27, 29, 31, 32, 35, 37, 38, 39, 43, 44, 46, 47, 48, 50, 51, 52, 54, 55, 56, 57, 58, 60, 61, 62, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 93, 94, 95], "go": [4, 6, 11, 12, 18, 35, 37, 38, 46, 47, 49, 50, 52, 55, 56, 57, 58, 60, 61, 64, 65, 73, 74, 76, 77, 79, 81, 87, 89, 90, 91, 93, 95], "six": [4, 18, 40, 48, 53, 55], "beth": 4, "palac": 4, "beauti": [4, 65], "big": [4, 35, 49, 55, 56, 57, 58, 61, 65, 66, 67, 68, 69, 70, 74, 76, 78, 94, 95], "hous": [4, 8, 9, 10, 55, 92], "did": [4, 8, 10, 11, 30, 37, 38, 39, 47, 49, 52, 53, 55, 56, 59, 61, 62, 63, 65, 70, 85, 88, 89, 90, 91], "pr": 4, "seven": [4, 34, 35, 46, 54, 61], "ami": 4, "vallei": 4, "OF": 4, "humili": 4, "That": [4, 5, 8, 10, 11, 17, 22, 27, 28, 30, 31, 32, 34, 35, 37, 38, 39, 42, 46, 47, 48, 51, 52, 53, 55, 57, 58, 60, 61, 62, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 89, 90, 91, 93, 94, 95], "perfect": [4, 65, 76, 78, 81, 87, 92, 93], "eight": [4, 55, 61], "meet": [4, 37, 40, 93], "apollyon": 4, "girl": [4, 11, 32], "nine": [4, 32, 35, 40, 61], "meg": 4, "goe": [4, 26, 66, 67, 73, 77, 78], "TO": 4, "vaniti": 4, "fair": [4, 44, 45, 50, 55, 56, 58, 91], "i": [4, 6, 44, 45, 46, 47, 52, 55, 56, 57, 60, 61, 62, 65, 66, 67, 72, 73, 74, 84, 85, 87, 90, 91, 92, 94], "ten": [4, 8, 9, 15, 34, 35, 54, 85], "p": [4, 48, 60, 61, 62, 64, 67, 84, 90, 94], "c": [4, 18, 29, 30, 37, 38, 39, 40, 54, 76, 79, 90, 91], "AND": 4, "o": [4, 6], "spring": 4, "came": [4, 27, 55, 57, 77], "am": [4, 92], "37": [4, 5, 9, 15, 32, 33, 35, 37, 40, 42, 53, 65, 78, 79, 87, 90], "row": [4, 5, 6, 14, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 46, 47, 48, 50, 51, 52, 53, 54, 58, 60, 62, 64, 65, 66, 67, 70, 72, 73, 76, 77, 78, 79, 80, 82, 84, 87, 88, 90, 91, 92, 94], "omit": [4, 5, 6, 18, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 42, 46, 47, 48, 51, 52, 53, 54, 60, 64, 65, 66, 67, 70, 72, 73, 76, 77, 78, 79, 80, 82, 87, 89, 90, 91, 92, 94], "track": [4, 8, 47, 50, 56, 80], "main": [4, 8, 11, 12, 35, 37, 48, 52, 57, 67, 84, 89, 94], "well": [4, 5, 6, 8, 10, 11, 14, 18, 31, 35, 36, 37, 38, 40, 41, 42, 43, 48, 52, 55, 56, 57, 61, 63, 65, 66, 69, 70, 74, 76, 77, 80, 81, 82, 84, 85, 87, 88, 89, 90, 91, 95], "protagonist": 4, "interact": 4, "her": [4, 8, 12, 38, 44, 47, 55, 60, 65, 74, 87, 89, 91], "regularli": [4, 11], "27": [4, 31, 32, 35, 40, 42, 55, 60, 66, 67, 70, 80, 90], "she": [4, 8, 12, 38, 44, 47, 55, 65, 69, 82, 87, 91, 94, 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66, 77, 84, 88, 92], "some": [5, 6, 9, 10, 11, 12, 13, 14, 15, 18, 20, 26, 29, 31, 33, 34, 35, 36, 37, 38, 39, 41, 42, 44, 46, 48, 50, 51, 53, 54, 55, 56, 57, 59, 61, 62, 64, 65, 66, 67, 69, 70, 71, 73, 75, 76, 77, 78, 80, 84, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96], "situat": [5, 11, 18, 26, 35, 43, 44, 48, 52, 57, 58, 65, 66, 67, 68, 70, 72, 74, 81, 93, 95], "accur": [5, 7, 26, 32, 49, 56, 65, 73, 74, 80, 87, 88, 90, 91, 92, 93, 95], "multipl": [5, 8, 14, 23, 27, 28, 33, 35, 36, 40, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 57, 58, 60, 65, 66, 93], "deriv": [5, 40, 47, 55, 57, 76, 77, 79], "let": [5, 10, 18, 26, 27, 31, 32, 34, 35, 36, 37, 38, 40, 41, 42, 44, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 58, 60, 61, 62, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 84, 85, 87, 88, 89, 90, 91, 92, 94, 95], "tediou": [5, 45], "acquir": [5, 34, 55, 57], "context": [5, 17, 35, 41, 56, 57, 60, 67, 70, 94, 95], "novel": [5, 6, 37, 78], "word": [5, 6, 12, 21, 22, 35, 39, 45, 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95], "later": [6, 8, 12, 16, 18, 29, 31, 35, 37, 38, 45, 46, 50, 55, 57, 60, 65, 66, 70, 73, 77, 80, 82, 87, 91, 92], "section": [6, 10, 12, 13, 18, 19, 30, 31, 32, 34, 35, 36, 37, 39, 40, 42, 44, 46, 48, 50, 51, 53, 55, 56, 57, 61, 62, 64, 65, 66, 67, 70, 71, 72, 73, 74, 76, 77, 78, 79, 82, 85, 87, 89, 90, 95], "featur": [6, 27, 37, 39, 40, 43], "list": [6, 17, 23, 25, 27, 29, 30, 33, 34, 35, 39, 40, 41, 47, 49, 53, 54, 55, 56, 64, 70, 71, 72, 81, 84, 85, 90, 92], "cannot": [6, 14, 16, 19, 70, 71, 83, 84], "space": [6, 14, 16, 22, 25, 34, 35, 54, 78, 89, 90, 94], "underscor": [6, 16], "_": [6, 16], "stand": [6, 31, 54, 55, 61], "left": [6, 26, 27, 30, 35, 36, 37, 47, 48, 51, 52, 55, 60, 61, 65, 66, 67, 69, 70, 71, 80, 84, 85, 87, 88, 92], "result": [6, 8, 14, 20, 24, 27, 32, 33, 35, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 60, 61, 62, 65, 66, 67, 69, 70, 71, 72, 73, 81, 82, 84, 85, 87, 88, 91, 92, 95], "uniform": [6, 50, 91], "resourc": [6, 32, 56, 65], "locat": [6, 8, 36, 42, 57], "url": [6, 31], "content": [6, 12, 22, 25, 32, 37, 45, 54, 97], "case": [6, 8, 11, 12, 14, 17, 20, 27, 31, 35, 40, 43, 44, 45, 47, 53, 55, 58, 63, 69, 72, 73, 77, 81, 84, 90, 92, 95], "comment": 6, "ignor": [6, 10, 35, 38, 40, 51, 56, 60, 61, 65, 73], "help": [6, 11, 13, 29, 30, 36, 38, 40, 41, 43, 45, 47, 50, 51, 52, 54, 55, 56, 61, 65, 66, 69, 74, 76, 77, 80, 87, 88, 89, 90, 91, 93], "peopl": [6, 8, 9, 10, 11, 13, 15, 19, 31, 32, 35, 36, 37, 38, 40, 42, 47, 48, 54, 55, 56, 62, 65, 67, 69, 87, 91, 93, 95], "code": [6, 17, 18, 28, 29, 30, 31, 35, 38, 39, 40, 42, 43, 44, 45, 46, 47, 49, 51, 52, 53, 56, 60, 61, 65, 66, 71, 72, 73, 74, 87, 90], "huck_finn_url": 6, "http": [6, 17, 29, 31, 36], "www": [6, 29], "inferentialthink": 6, "com": [6, 29], "huck_finn": 6, "txt": 6, "huck_finn_text": 6, "read_url": 6, "split": [6, 32, 35, 61, 92], "little_women_url": 6, "little_women": [6, 78], "little_women_text": 6, "while": [6, 8, 17, 25, 31, 32, 34, 35, 36, 40, 41, 43, 44, 45, 46, 47, 50, 54, 55, 56, 57, 58, 60, 61, 65, 66, 67, 70, 73, 78, 80, 84, 88, 92, 96], "insight": [6, 46, 49, 76], "structur": [6, 14, 18, 22, 90], "bound": [6, 21, 71, 72, 74, 90], "place": [6, 13, 17, 21, 27, 28, 30, 31, 33, 34, 35, 36, 40, 43, 46, 50, 66, 71, 72, 80, 81, 88, 92, 95], "begin": [6, 14, 17, 23, 25, 32, 33, 35, 39, 44, 45, 49, 50, 51, 69, 70, 86, 92, 94], "know": [6, 7, 11, 20, 30, 35, 37, 40, 43, 47, 49, 52, 54, 56, 59, 61, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 78, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96], "ii": 6, "went": [6, 8, 11, 49, 73], "tipto": 6, "path": [6, 77, 88], "amongst": [6, 9], "tree": [6, 95], "bac": 6, "iii": [6, 70], "got": [6, 8, 38, 45, 61, 62, 64, 76, 78, 79, 88, 95, 96], "good": [6, 10, 12, 13, 26, 27, 35, 38, 40, 41, 46, 47, 48, 49, 52, 55, 56, 57, 58, 59, 60, 61, 65, 66, 70, 71, 73, 77, 80, 81, 82, 83, 85, 87, 88, 91, 93], "over": [6, 15, 25, 26, 28, 30, 31, 32, 35, 36, 37, 39, 40, 44, 45, 47, 48, 50, 56, 59, 60, 61, 65, 66, 69, 70, 73, 80, 90, 91, 92], "morn": 6, "iv": 6, "month": [6, 56, 67], "run": [6, 11, 40, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 65, 66, 69, 72, 73, 78, 83, 84, 85, 95], "wel": 6, "v": [6, 9, 10, 55], "shut": 6, "door": [6, 47], "Then": [6, 15, 27, 32, 35, 44, 47, 57, 58, 60, 61, 64, 65, 66, 67, 70, 79, 81, 87, 88, 89, 91, 94, 95, 96], "turn": [6, 11, 19, 37, 47, 57, 58, 66, 70, 75, 76, 77, 79, 87], "ther": 6, "vi": [6, 55], "pretti": [6, 46, 47, 59, 62, 74, 77, 84, 87, 89, 90, 91, 94, 95], "soon": [6, 60, 73, 81], "old": [6, 31, 36, 38, 56, 67, 77, 89, 91], "agai": 6, "vii": 6, "git": 6, "bout": 6, "my": [6, 44, 45], "ey": [6, 35, 40, 57, 62, 72, 87], "viii": 6, "sun": [6, 18, 29], "high": [6, 25, 27, 28, 35, 37, 40, 42, 48, 51, 52, 55, 56, 57, 65, 66, 67, 69, 70, 74, 76, 77, 80, 84, 90, 91, 92], "judg": [6, 35, 57, 61, 82], "ix": 6, "m": [6, 32, 87, 91], "x": [6, 17, 20, 23, 30, 38, 43, 44, 45, 47, 49, 56, 67, 76, 77, 78, 79, 80, 83, 84, 85, 87, 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"secondari": 11, "compens": [11, 56, 69], "wage": [11, 65], "attend": 11, "form": [11, 14, 20, 31, 32, 34, 35, 36, 38, 40, 45, 54, 56, 60, 66, 79, 84, 94], "73": [11, 32, 36, 37, 38, 42, 51, 53, 62, 67, 70, 71, 77, 80, 82, 87, 92], "77": [11, 32, 42, 67, 80], "greater": [11, 17, 23, 30, 32, 35, 36, 38, 44, 49, 57, 62, 76, 80, 83, 94, 95], "67": [11, 32, 36, 38, 40, 42, 43, 50, 60, 67, 76, 77, 78, 90], "75": [11, 18, 29, 32, 36, 38, 39, 40, 41, 42, 57, 62, 64, 69, 70, 71, 72, 73, 77, 80, 82, 90, 92], "success": [11, 50, 66, 77, 93], "govern": [11, 15, 48], "under": [11, 30, 35, 47, 48, 50, 51, 58, 67, 71, 75, 78, 91, 95, 97], "oportunidad": 11, "invest": [11, 65], "healthi": [11, 67], "popul": [11, 15, 32, 35, 36, 40, 48, 52, 54, 55, 56, 60, 61, 63, 67, 68, 69, 72, 73, 74, 75, 79, 82, 83, 86, 88, 92, 94, 95], "benefit": [11, 61, 65, 69, 81], "terminolog": [11, 37, 43, 54, 57, 64, 67, 94], "grand": [11, 91], "wrote": [11, 32, 38, 46, 55, 57, 60, 82], "No": [11, 40, 57, 70, 74, 79, 88, 92, 95], "divid": [11, 14, 15, 17, 20, 25, 32, 35, 37, 43, 56, 61, 69, 73, 74], "choic": [11, 15, 34, 35, 38, 44, 45, 46, 47, 49, 50, 53, 54, 57, 87], "true": [11, 18, 22, 23, 25, 27, 29, 30, 31, 32, 34, 42, 44, 49, 55, 57, 58, 60, 61, 62, 64, 65, 66, 67, 69, 70, 75, 77, 78, 80, 81, 83, 85, 86, 88, 92, 94, 95, 96], "simpli": [11, 29, 32, 37, 38, 43, 45, 49, 54, 55, 57, 61, 62, 65, 67, 68, 72, 84], "law": [11, 13, 32, 51, 52, 55, 56, 57, 62, 65, 66], "probabl": [11, 13, 46, 51, 52, 54, 57, 66, 71, 72, 73, 74, 94, 95], "toss": [11, 48, 49, 54, 58], "coin": [11, 46, 48, 53, 54, 58], "bit": [11, 29, 31, 36, 50, 56, 57, 60, 65, 66, 67, 70, 71, 72, 79, 81, 90, 91], "complex": [11, 32, 36, 40, 47, 48, 62, 74, 90, 96], "sequenc": [11, 18, 33, 45, 46, 53, 54, 57, 70, 89], "defin": [11, 16, 26, 32, 35, 38, 40, 43, 44, 46, 47, 50, 52, 55, 56, 57, 60, 61, 64, 65, 66, 68, 70, 72, 73, 76, 77, 78, 79, 80, 84, 85, 89, 90, 92], "step": [11, 19, 21, 26, 32, 35, 39, 40, 43, 46, 47, 52, 55, 58, 59, 61, 62, 65, 66, 70, 76, 78, 84, 89, 92], "chanc": [11, 46, 47, 48, 49, 50, 53, 54, 55, 57, 60, 61, 62, 63, 66, 67, 72, 94, 95], "specifi": [11, 17, 18, 22, 26, 29, 33, 34, 35, 36, 39, 42, 43, 46, 47, 48, 50, 53, 54, 55, 57, 58, 60, 61, 62, 63, 65, 67, 69, 76, 83, 85, 86, 89], "consequ": [11, 34, 38, 56, 65, 66, 69, 95], "produc": [11, 17, 22, 31, 34, 35, 37, 38, 40, 46, 47, 55, 58, 66], "statement": [11, 16, 17, 37, 38, 42, 43, 45, 49, 57, 67, 70, 77, 78, 94], "justifi": [11, 51, 55, 68, 77], "suppos": [11, 27, 31, 35, 38, 41, 44, 48, 53, 54, 55, 56, 57, 58, 64, 65, 66, 67, 69, 72, 74, 77, 80, 84, 85, 87, 88, 89, 90, 94, 95, 96], "alcohol": [11, 90], "consumpt": [11, 76, 97], "pregnanc": [11, 60, 66, 77, 85], "randomli": [11, 49, 53, 55, 60, 61, 62, 65, 88, 91, 92, 95], "pregnant": [11, 66], "should": [11, 19, 20, 35, 38, 46, 47, 50, 52, 55, 56, 57, 60, 61, 62, 64, 65, 66, 72, 74, 83, 85, 87, 90, 91, 92, 95], "expect": [11, 17, 38, 43, 46, 53, 55, 58, 65, 66, 67, 69, 70, 72, 73, 76, 77, 78, 87, 88, 90, 92, 93], "cooper": [11, 56], "present": [11, 55, 56, 65, 87, 89], "invari": [11, 46, 72, 84], "Be": 11, "alert": [11, 65], "harder": [11, 35, 90], "extrem": [11, 20, 37, 64, 69, 70, 76, 78, 81], "fun": 12, "father": [12, 36, 38], "anesthesiologist": 12, "queen": 12, "victoria": 12, "earli": [12, 31, 34, 37, 51, 54, 57], "recipi": 12, "anesthet": 12, "childbirth": 12, "florenc": 12, "nightingal": 12, "nurs": 12, "famou": [12, 68], "crimean": 12, "contagion": 12, "minc": 12, "absurd": 12, "connect": [12, 55], "doctrin": 12, "said": [12, 35, 37, 47, 62, 67, 76, 77, 88], "suffic": 12, "sai": [12, 35, 37, 38, 41, 46, 49, 50, 55, 56, 57, 60, 61, 65, 66, 67, 70, 72, 74, 75, 76, 77, 78, 80, 81, 82, 83, 88, 89, 90], "ordinari": [12, 48], "proof": [12, 78], "admit": 12, "enquiri": 12, "insist": [12, 79, 95], "necessari": [12, 27, 31, 34, 38, 49], "achiev": [12, 30, 35, 54, 55], "financi": [12, 37, 41, 65], "boost": 12, "payment": 12, "suffici": [12, 35, 92], "strang": [12, 65, 95], "street": [12, 42, 54, 59], "pump": [12, 59], "mysteri": [12, 87], "sandra": 12, "hempel": 12, "univers": [12, 34, 35, 37, 41, 42, 54, 56, 57, 76, 79, 94], "california": [12, 36, 37, 40, 42, 55, 56, 59, 76], "press": [12, 17, 55, 62], "whodunit": 12, "warn": 12, "stomach": 12, "churn": 12, "best": [12, 71, 77, 78, 79, 83, 86, 92], "seller": 12, "abhijit": 12, "banerje": 12, "esther": 12, "duflo": 12, "mit": 12, "fight": [12, 55], "global": [12, 37], "poverti": 12, "2019": [12, 31, 32, 36, 65], "michael": [12, 37, 53], "kremer": 12, "nobel": [12, 76], "prize": [12, 47, 76, 91], "via": 12, "design": [12, 14, 20, 95], "These": [13, 18, 20, 21, 25, 28, 29, 35, 38, 48, 56, 57, 61, 65, 70, 76, 78, 79, 80, 94, 95], "ever": [13, 44, 88], "inscrut": 13, "secret": [13, 54], "belong": [13, 34, 60, 94], "class": [13, 25, 46, 50, 64, 69, 76, 87, 88, 89, 90, 91, 92, 93, 94, 96], "radic": 13, "inaccess": 13, "intellig": [13, 78], "septemb": [13, 42], "1849": 13, "deterr": 13, "Is": [13, 49, 57, 59, 60, 74, 78], "chocol": [13, 18, 34, 39, 40, 41, 59, 76], "breast": 13, "attempt": [13, 39, 47, 56, 57, 78], "examin": [13, 29, 31, 32, 35, 37, 38, 39, 40, 42, 45, 56, 57, 61, 66, 67, 70, 71, 72, 76, 79, 80, 84, 86], "shed": 13, "light": [13, 18, 40, 78, 94], "concept": [13, 38, 76], "eat": 13, "heart": [13, 57, 62, 69], "50": [13, 32, 35, 36, 37, 38, 39, 40, 42, 46, 48, 49, 52, 53, 56, 64, 65, 66, 69, 72, 73, 74, 76, 77, 78, 91, 94, 95], "union": [13, 42, 56], "occur": [13, 14, 30, 33, 47, 49, 50, 58], "pose": 13, "stage": [13, 24, 48, 50, 60, 66], "next": [13, 18, 31, 34, 35, 36, 42, 44, 48, 54, 56, 57, 64, 66, 67, 70, 72, 76, 77, 85, 89, 90, 92, 95], "simpler": [14, 34, 48, 94], "nonetheless": [14, 90], "rule": [14, 30, 44, 45, 47, 48, 50, 55, 58, 62, 95], "grammar": 14, "sophist": 14, "4": [14, 16, 17, 18, 20, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 62, 64, 66, 67, 69, 70, 72, 73, 74, 76, 77, 79, 80, 83, 84, 87, 89, 90, 91, 92, 94, 95, 97], "evalu": [14, 20, 38, 43, 44, 45, 49, 61, 89, 91], "last": [14, 15, 17, 18, 20, 25, 29, 31, 35, 38, 42, 43, 55, 56, 67, 69, 71, 74, 88, 90], "cell": [14, 17, 18, 33, 38, 40, 42, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 55, 56, 57, 58, 60, 65, 66, 71, 73, 87, 88, 89, 91, 94, 95], "12": [14, 17, 18, 23, 27, 29, 30, 31, 32, 35, 36, 39, 40, 42, 46, 49, 51, 56, 61, 62, 64, 67, 70, 79, 87], "rigid": 14, "twice": [14, 32, 35, 47, 48], "prescrib": 14, "syntaxerror": [14, 49], "error": [14, 20, 33, 49, 55, 56, 68, 79, 80, 81, 83, 86, 88, 90, 92, 93, 95], "syntax": [14, 43], "doesn": [14, 18, 21, 22, 25, 29, 31, 34, 35, 37, 38, 41, 42, 44, 47, 49, 50, 56, 57, 60, 61, 65, 67, 73, 76, 77, 81, 84, 85, 87, 90, 93, 95], "file": [14, 31, 33, 36, 42, 49], "input": [14, 38, 40, 43, 44, 47, 49, 55, 90, 92], "012ea60b41dd": 14, "invalid": [14, 38], "exponenti": [14, 15, 25], "rais": [14, 15, 52, 55, 56, 60, 84], "operand": 14, "81": [14, 31, 32, 42, 67, 70, 90], "sort": [14, 25, 30, 31, 34, 36, 37, 41, 42, 43, 64, 65, 66, 70, 76, 89, 90, 92], "arithmet": [14, 20, 25, 31, 35, 39, 49, 89, 95], "type": [14, 17, 18, 20, 21, 22, 25, 30, 33, 42, 45, 58, 61, 74, 89, 92], "addit": [14, 22, 33, 40, 48, 55, 56, 76, 81, 94], "subtract": [14, 15, 26, 27, 35, 60, 90], "divis": [14, 32], "7": [14, 18, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 42, 43, 44, 45, 46, 48, 50, 53, 54, 57, 61, 62, 64, 70, 72, 73, 74, 76, 77, 78, 79, 80, 87, 90, 91, 92], "66667": 14, "remaind": 14, "41421": 14, "obei": 14, "preced": [14, 43], "parenthes": [14, 17, 18, 25, 38, 43], "smaller": [14, 18, 23, 31, 33, 35, 37, 38, 46, 48, 49, 56, 57, 60, 65, 66, 70, 73, 74, 78, 81, 90], "larger": [14, 15, 17, 23, 31, 33, 35, 41, 42, 49, 55, 56, 60, 61, 62, 66, 69, 70, 72, 73, 74, 86, 95], "8": [14, 18, 26, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 42, 43, 46, 48, 51, 53, 54, 55, 60, 62, 64, 66, 67, 70, 72, 73, 74, 76, 77, 79, 80, 82, 84, 85, 87, 89, 90, 91, 92, 94, 97], "9": [14, 15, 18, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 42, 48, 53, 54, 60, 61, 62, 64, 66, 67, 69, 70, 74, 76, 78, 79, 81, 84, 87, 89, 90, 91, 92], "17": [14, 26, 32, 36, 38, 40, 42, 43, 44, 48, 53, 64, 67, 70, 72, 80, 90, 91], "555555555555557": 14, "2017": [14, 34, 35], "everyth": 14, "behavior": [14, 18, 20, 43, 44, 54, 60], "happen": [14, 32, 35, 43, 47, 54, 57, 58, 60, 61, 65, 66, 70, 81, 87, 90, 95], "zero": [14, 20, 25, 35, 49, 61, 66, 69, 70, 81, 90, 92], "expert": [14, 59], "yourself": [14, 39, 43], "taken": [15, 34, 53, 54, 56, 64, 73, 94], "express": [15, 16, 19, 20, 22, 23, 24, 25, 27, 28, 29, 32, 43, 44, 45, 46, 49, 69, 81], "unit": [15, 31, 32, 34, 35, 36, 42, 46, 50, 51, 52, 55, 68, 69, 71, 72, 73, 76, 78, 87, 89, 92], "feder": 15, "emploi": 15, "766": 15, "2002": [15, 54, 56, 76], "814": [15, 30], "2012": [15, 37, 54, 76, 91], "must": [15, 16, 18, 19, 23, 29, 32, 33, 35, 36, 38, 43, 44, 45, 47, 49, 54, 55, 56, 57, 60, 61, 62, 65, 76, 80, 85, 87, 91, 92, 95], "decid": [15, 32, 35, 46, 52, 55, 56, 57, 58, 59, 60, 62, 63, 68, 74, 80, 82, 84, 85], "treat": [15, 34, 37, 47, 60, 65, 66, 87], "initi": [15, 17, 33, 47, 59, 62, 92], "amount": [15, 29, 34, 35, 43, 45, 50, 52, 65, 67, 68, 69, 71, 72, 76, 79, 88, 92], "2766000": 15, "2814000": 15, "01735357917570499": 15, "ratio": [15, 48, 66, 77, 81], "yield": [15, 62, 78], "017353579175704903": 15, "2766": 15, "2814": 15, "employe": [15, 56, 69], "74": [15, 32, 35, 36, 37, 38, 40, 42, 53, 54, 55, 57, 77, 90, 92], "expenditur": 15, "trillion": 15, "38": [15, 31, 32, 37, 40, 42, 53, 72, 78, 84, 90], "4261603375527425": 15, "42": [15, 32, 39, 41, 43, 66, 67], "budget": [15, 37], "grown": 15, "slowli": 15, "21": [15, 18, 29, 30, 32, 42, 55, 70, 72, 90, 92], "287": 15, "314": [15, 54], "09214186369958277": 15, "neg": [15, 20, 26, 31, 37, 44, 51, 56, 60, 70, 76, 77, 78, 80, 81, 84, 92, 95], "decreas": [15, 18, 26, 29, 31, 34, 64, 72, 73, 74, 77, 94], "job": [15, 30, 43, 60, 65, 77, 81], "11": [15, 18, 26, 27, 30, 31, 32, 34, 36, 40, 42, 56, 62, 64, 67, 70, 85, 87, 89, 90, 92], "22": [15, 18, 29, 30, 31, 32, 42, 64, 67, 70, 77, 85, 90], "2222222222222222": 15, "annual": [15, 31, 68, 93], "035": 15, "accumul": 15, "41": [15, 32, 35, 37, 42, 53, 67, 76], "410598760621121": 15, "expon": 15, "annual_growth_r": 15, "ten_year_growth_r": 15, "likewis": 15, "equival": [15, 17, 20, 30, 40, 44, 48, 49, 56, 65, 69], "pass": [15, 17, 26, 28, 40, 43, 54, 77, 88, 89, 92], "03613617208346853": 15, "g": [15, 30, 40, 90, 93], "size": [15, 25, 27, 31, 33, 35, 48, 50, 51, 52, 53, 54, 55, 56, 60, 61, 64, 65, 66, 67, 72, 73, 75, 78, 80, 81, 83, 84, 91, 92, 95], "repeatedli": [15, 30, 45, 50, 52, 56, 57, 60, 62, 72, 73, 76], "substitut": [16, 85], "b": [16, 35, 38, 40, 54, 61, 77, 78, 79, 85], "20": [16, 18, 26, 29, 30, 31, 32, 39, 40, 42, 46, 51, 52, 55, 61, 64, 65, 67, 70, 72, 73, 84, 85, 90, 92, 94], "previous": [16, 43], "quarter": [16, 62, 64], "half": [16, 27, 30, 36, 38, 42, 52, 54, 61, 62, 65, 66, 69, 74, 82, 88, 94], "term": [16, 26, 27, 31, 32, 35, 37, 61, 64, 67, 69, 76, 77, 81, 94, 96], "automat": [16, 87, 93], "charact": [16, 37, 78], "replac": [16, 18, 21, 30, 39, 40, 43, 44, 46, 48, 50, 51, 52, 53, 54, 56, 58, 60, 65, 69, 72, 73, 74, 83, 84, 89], "programm": [16, 20, 22, 25, 28], "choos": [16, 33, 34, 35, 44, 47, 54, 55, 57, 61, 78, 94], "easi": [16, 27, 32, 37, 43, 45, 57, 58, 69, 71, 76, 79, 89], "meaning": 16, "invent": [16, 27], "sale": [16, 34, 35, 92], "tax": 16, "purchas": 16, "ca": [16, 36], "clarifi": [16, 40], "purchase_pric": 16, "state_tax_r": 16, "075": [16, 62], "county_tax_r": 16, "02": [16, 31, 40, 57, 62, 80, 87, 90], "city_tax_r": 16, "sales_tax_r": 16, "sales_tax": 16, "475": [16, 61, 62, 76, 95], "invok": [17, 21], "function": [17, 18, 20, 21, 22, 24, 26, 28, 29, 33, 39, 40, 42, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 60, 61, 62, 65, 66, 70, 71, 72, 73, 74, 77, 78, 79, 80, 82, 83, 85, 87, 89, 90, 91, 92, 95], "ab": [17, 24, 43, 54, 56, 57, 61, 89], "round": 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