Statistical Analysis with R

Explore statistical analysis within R to perform descriptive and inferential statistics, understand probability distributions, and conduct hypothesis testing.

Lessons and practices

Lesson 1: Descriptive Statistics with R: Understanding Measures of Central Tendency

Central Tendency Analysis in R

Exploring Central Tendency: Adjusting the Age Dataset

Astronomical Camp Ages: Computing Mean, Median, and Mode in R

Lesson 2: Descriptive Statistics in R: Diving Into Measures of Dispersion

Measuring Dispersion in Math Scores

Analyzing Measures of Dispersion for English Marks

Debugging Measures of Dispersion in R

Exploring Dispersion in Educational Data

Analyzing Student Mathematics Scores Using Measures of Dispersion in R

Lesson 3: Quantiles and Interquartile Range Analysis with R

Understanding Student Grade Distribution with IQR

Calculating Lower Outlier Bound in R Using IQR Method

Debugging Interquartile Range Calculation in R

Calculating the Interquartile Range of Student Math Scores

Calculating the Median and Interquartile Range in R

Lesson 4: Understanding Skewness and Kurtosis in R

Assessing Weather Trends with Skewness and Kurtosis in R

Fine-Tuning Temperature Data Simulation in R

Calculating Skewness and Kurtosis in R

Analyzing Hypothetical City Temperature Data with R

Lesson 5: Exploring Probability Distributions with R: Uniform and Normal Distributions

Visualizing Binomial Distribution of Card Game Wins

Drawing and Visualizing 14 Cards with Uniform Distribution

Exploring Uniform Distribution in R

Simulating Standardized Test Score Distributions in R

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