Week of Statistics

This repository contains materials and code related to a week-long study of statistics. The content covers fundamental concepts in statistics, including descriptive statistics, inferential statistics, and various statistical techniques. The content is organized into daily sessions.

Table of Contents

Day 1: Introduction to Statistics
Day 2: Measures of Central Tendency and Dispersion
Day 3: Distributions and Normal Distribution
Day 4: Outliers Detection

Day 1: Introduction to Statistics

Definition of Statistics
Types of Statistics: Descriptive and Inferential
Descriptive Statistics:
- Measures of Central Tendency (Mean, Median, Mode)
- Measures of Variance (Standard Deviation, Variance, Range, Interquartile Range)
Population and Samples
Sampling Techniques
Types of Variables

Day 2: Measures of Central Tendency and Dispersion

Impact of Outliers on Mean, Median, and Mode
Experiment with Outliers
Percentiles and Quartiles
Five-Number Summary
Boxplots for Outliers Detection

Day 3: Distributions and Normal Distribution

Understanding Normal Distribution
Properties of Normal Distributions
Empirical Rule
Standard Normal Distribution
Calculating Z-Scores
Using Z-Scores for Standardization
Example: Finding Percentiles

Day 4: Outliers Detection

Identifying Outliers Using 3rd Standard Deviation
Adding Outliers to Data
Function for Outliers Detection

Usage

Feel free to use the provided R code and examples for learning or teaching statistics. Each day's content is organized in separate R scripts for clarity.

License

teche74/Week_Of_Statistics

ErrorLooks like something went wrong!

About

Topics

Resources

License

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Error
Looks like something went wrong!

Packages