### MYaseen208

Thoughts on statistics, Research, R, Python, LaTex, and other distractions.

# Subject ▸ Data Science

## Statistics: The Art & Science of Learning from Data

1 Introduction 1.1 Statistics 1.2 Variable 1.3 Measurement 1.4 Measurement Scales 2 Exploring Data with Graphs & Numerical Summaries 2.1 Graphs 2.2 Numerical Summaries 3 Descriptive Statistics 4 Correlation Analysis 5 An Introduction to Linear Models 5.1 Regression Analysis 5.2 Analysis of Variance (ANOVA) 5.3 Analysis of Covariance (ANCOVA) 6 An Introduction to R addClassKlippyTo("pre.r, pre.python"); addKlippy('left', 'top', 'auto', '1', 'Copy code', 'Copied!

## An Introduction to Statistics using SPSS

Introduction Statistics Variable Measurement Measurement Scales Descriptive Statistics Example Reference Boxwhisker Diagram Example Reference Scatter Plot Example Reference Regression Analysis Simple Linear Regression Example Reference Multiple Linear Regression Example Reference Polynomial Regression Analysis Example Reference Analysis of Variance (ANOVA) Example Reference Example Reference Analysis of Covariance (ANCOVA) Example Reference Same Slopes but different Intercepts Different Intercepts and different Slopes Factorial Experiments Example Reference Introduction alt text