Statistical Analysis of Stroop Effect Experiment
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Updated
Jan 27, 2020 - HTML
Statistical Analysis of Stroop Effect Experiment
Contains projects needed to complete Udacity's Data Analyst Nanodegree Program
Udacity's Nanodegree program built in partnership with Kaggle and Mode that aims at training new Data Analysts mastering Python, R, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.
Python: Test the hypothesis of Stroop Effect
Use descriptive statistics to describe qualities of a sample, set up a hypothesis test, make inferences from a sample, and draw conclusions based on the results.
This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨🎓🤘
Using descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology
This is a statistical project that is part of the Udacity Machine Learning Nanodegree. Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results
Descriptive statistical analysis of the Stroop Effect
Hypothesis testing and Statistical Analysis Projects
Statistical Analysis of a Dataset about the Stroop Effect
Udacity Data Analyst Nanodegree Project : Test a Perceptual Phenomenon (Stroop Effect)
This repo contains projects developed in Machine Learning Foundation Nanodegree.
Investigate a classic phenomenon from experimental psychology called the Stroop Effect
Statistical Analysis of 'Stroop Effect' - a psychological occurrence
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