Lecture Notes

Practice Exams

Introduction

Blank

Data Sets

Key

Understanding
Excel I 
1.1 
1.1d 
1.1a 
Understanding
Excel I 
1.2 
1.2d 
1.2a 
Sampling 



Law of Large
Numbers and Central Tendency 
2.1 
n/a 
2.1a 
Geometric Mean 
2.2 
n/a 
2.2a 
Weighted
Average 



Dispersion 
3.1 
3.1d 
3.1a 
Of Data and
Displays I 
3.2 
3.2d 
3.2a 
Of Data and
Displays II 




4.1 
4.1d 
4.1a 
The Normal
Distribution and the CLT I

4.2 
4.2d 
4.2a 
The Normal
Distribution and the CLT II




Confidence
Intervals I 
Data Sets 
Confidence
Intervals II 
Data Set 0 
Confidence
Intervals III 
Data Set 1

Hypotheses and
Types of Error 
Data Set 2

Hypothesis
Testing I 
Data Set 3

Hypothesis
Testing II 
Data Set 4

Hypothesis
Testing III 
Data Set 5


Data Set 6

Correlation
& Causation 
Data Set 7

Simple Linear
Regression I 

Simple Linear
Regression II 
Exam 1 Data 
Simple Linear
Regression III 
Exam 2 Data (n/a)

Multivariable
Regression I 
Exam 3 Data 
Multivariable
Regression II 
Exam 4 Data 
Multivariable
Regression III 

Understanding
Regressions I 
Memo Data
Sets 
Understanding
Regressions II 



Probability


Expected Value I


Expected Value
II 

Bayes' Theorem I


Bayes' Theorem
II 

Bayes' Theorem
III 

Discrete
Probability Models I 

Discrete
Probability Models II 
