Statistics and Sampling

Statistics vs. probability

Population vs. sample

Parameters vs. statistics

Random sampling methods

Stratified and cluster sampling

Systematic sampling

Sampling bias types

Designing surveys

Experimental design basics

Control groups and treatment groups

Randomization in experiments

Observational studies vs. experiments

Correlation vs. causation

Scatter plots and correlation

Line of best fit

Linear regression introduction

Interpreting slope and intercept

Residuals

Correlation coefficient (r)

Making predictions with regression

Normal distributions introduction

Properties of normal curves

z-scores

Standard normal distribution

Sampling distributions concept

Margin of error introduction

Confidence intervals concept

Statistical significance introduction

Interpreting statistical claims

Unit assessment