Lecture Notes

Practice Exams

Introduction

Number

Key

Understanding
Excel 
1.1 
1.1a 
Sampling 
2.1 
2.1a 
Central
Tendency 
3.1 
3.1a 
Dispersion

4.1 
4.1a 
Of Data and
Displays 


Correlation
& Causation 
Data


Dataset 1

Law of Large
Numbers 
Dataset 2

Probability

Dataset 3 
Expected Value

Dataset 4 
Bayes' Theorem
I 
Dataset 5 
Bayes' Theorem
II 
Dataset 6 
Discrete
Probability Models

Memo
Datasets 


The Normal
Distribution and the CLT 

Confidence
Intervals 

Hypotheses and
Types of Error 

Understanding
Hypothesis Testing 

Comparing Two
Populations I 

Comparing Two
Populations II 



Simple Linear
Regression I 

Simple Linear
Regression II 

Multivariable
Regressions I 

Multivariable
Regressions II 

Communicating
Statistics 
