|
Lecture Notes
|
Practice Exams
|
| Introduction
|
Blank
|
Data Sets
|
Key
|
| Understanding
Excel I |
1.1 |
1.1d |
1.1a |
| Understanding
Excel II |
1.2 |
1.2d |
1.2a |
| Sampling |
|
|
|
| Law of Large
Numbers and Central Tendency |
2.1 |
n/a |
2.1a |
| Weighted
Average |
2.2 |
n/a |
2.2a |
Geometric Mean
|
|
|
|
| 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
Regressions I |
|
| Simple Linear
Regressions II |
Exam 1 Data |
| Simple Linear
Regressions III |
Exam 2 Data (n/a)
|
| Multivariate
Regression I |
Exam 3 Data |
| Multivariate
Regression II |
Exam 4 Data |
| Multivariate
Regression III |
|
| Understanding
Regressions I |
Paper
Data Sets |
| Understanding
Regressions II |
|
|
Grade Calculation
|
| Probability
|
What's
My Grade? |
| Expected Value I
|
|
| Expected Value
II |
|
| Bayes' Theorem I
|
|
| Bayes' Theorem
II |
|
| Bayes' Theorem
III |
|
| Discrete
Probability Models I |
|
| Discrete
Probability Models II |
|
