Intro to Statistics -- Matthew Haner  

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  • The book for this class will be Elementary Statistics: A Step by Step Approach 10th edition by Allan Bluman.  Earlier editions don't really work for the homework sets.
  • Syllabus in pdf.
  • This is not the online stats class!



Week 1.  January 22 - January 26.    
Day
Class Covers
Assignments, etc.
Tuesday
The syllabus and my expectations.

What is statistics?

Sections 1-1 and 1-2:  Variables and the beginnings of sampling. Outline.

My chapter 1 notes.
Get the book, read section 1-1 and 1-2.
1-1 problems 1-15 only the odds on page 5.
1-2 problems 1-15 only the odds on page 10.
Thursday
Section 1-3.  Sampling techniques and experiments. Outline. 1-3 problems 7-15 only the odds on page 17.


Week 2.  January 29 - February 2.
Day
Class Covers
Assignments, etc.
Monday
Drop/Add Deadline


Tuesday


Thursday
Section 1-4.  Experiments. Outline.

Chapter 2 -- graphs and histograms.  My examples.

Common charts:  Wiki
1-4 problems 1, 3, 7, 9, 11,15, 17, 23, 25 starting on page 24.

There's a quiz on D2L.  Quiz 1.  Take it soon.

2.2 (page 65): 1, 3 is a good idea, 5, and 20 (Answers to #20 are 0, 14, 10, 16).
2.3 (page 90): 5, 17.

Week 3.  February 5 - February 9.    
Day
Class Covers
Assignments, etc.
Tuesday
3-1:  Measures of central tendency.  My notes on chapter 2 and 3 for the online students  Weighted means.

3.1 (page122): 3, 5, 7 (skip the midrange for those), 25, 27, 28 (answer is 82.67), 29.
The chapter 2 quiz is on D2L.  Quiz 2.  Take it soon.
Thursday
3-2:  Measures of variation -- variance, SD, range.  The empirical rule, Chebychev's theorem.


3.2 (page143): 1, 3, 4, 7, 9, 11. Be sure to be able to compute the SD and variance by hand, but don’t
perform calculations without a calculator/computer.
3.2 (page145): 29, 31, 35, 41

Week 4.  February 12 - February 16.
Day
Class Covers
Assignments, etc.
Tuesday
3-3:  Measures of position.  Z scores, percentiles, quantiles, deciles,  Quintiles example.

Z-score example.
3.4:  5 number summaries and boxplots.
There are two quizzes for chapter 3 on D2L.  Quiz 3 and Quiz 4.  Take them soon.

3.3 (page159): 1- 7 all. 9 – 15 odd.
3.4 (page172): 1-13 odd
Thursday
4.1:  Intro to probability:  nomenclature and basic probability. 4.1: 1-10 all, 13, 15, 17, 21, 23, 27, 31, 33.

Week 5.  February 19 - February 23.    
Day
Class Covers
Assignments, etc.
Tuesday
Test 1.  Covers everything before probability
Thursday
I'll finish up 4.1.  Some review examples.
4.2: the addition rule.
Here's my chapter 4 notes.
4.2: 1, 2, 3, 5, 9, 15, 17, 23.

Week 6.  February 26 - March 1.
Day
Class Covers
Assignments, etc.
Tuesday
4.3:  Conditional probability and independence.
Here's some problems for class.

Go over the exam.
4.3: 1, 5, 11, 15, 21, 25, 29, 31, 33, 35.
Here are some additional probability problems and the solutions.
Here's a not-too-evil set of exercises on conditional probability with the answers.

Thursday
We'll finish up 4.3.
There are three quizzes for chapter 4 on D2L.  Quizzes 5, 6, and 7.  Take them soon.

Week 7.  March 4 - March 8.    
Day
Class Covers
Assignments, etc.
Tuesday
5.1:  Discrete random variables.
My chapter 5 notes.
Cooties.
5.1: 1-6 you should know except the baseball thing. 7-17 odd, 21, 23, 29.


Thursday
5.2:  Expectation of random variables.
5.2: 1, 7, 11, 13, 15, 17, 19.
Quiz 8 covers random variables and expectations.  It's ready on D2L.

Spring Holiday.  March 11 - March 15.    
Day
Class Covers
Assignments, etc.
Monday
No Classes.
No Classes.
Tuesday
No Classes. No Classes.
Wednesday
No Classes. No Classes.
Thursday
No Classes. No Classes.
Friday
No Classes. No Classes.

Week 8.  March 18 - March 22.
Day
Class Covers
Assignments, etc.
Tuesday
5.3:  Binomial random variables.  Some examples for class. 5.3: 1, 5, 7, 9, 11, 17, 21.
Quiz 9 is the last one before test 2.  It's ready on D2L.
Thursday
Any cleanup for test 2.
6.1.  Introduction to the normal curve.
My chapter 6 notes.


Week 9.  March 25 - March 29.
Day
Class Covers
Assignments, etc.
Tuesday
Test 2.  Covers chapters 4 and 5.
Thursday



Week 10.  April 1 - April 5.    
Day
Class Covers
Assignments, etc.
Tuesday
6.1:  Introduction to the normal curve.  Notice the Z and T table at the top, btw.
6.2:  "Non-standard" normal curves.  Examples

Something cool.
6.1: 1-5 odd. 7-25 odd (Do 3 of them.) 27-40 odd. (Do 3 of them.) 41-49 odd.
6.2: 3, 5, 9, 11, any of the odds from 13 to 29 are pretty good. Definitely do 31 and 33.
Thursday
6.3:  The central limit theorem.  Way more than what we need, but here's the wiki. 6.3: 1-5 odd, 7, 11, 13, 23.
Quiz 10 covers chapter 6.

Week 11.  April 8 - April 12.
Day
Class Covers
Assignments, etc.
Tuesday
7.1:  Point estimators, z-confidence intervals.  Don't worry about minimal sample sizes.  Examples.

My chapter 7 notes.
7.1: 1, 5, 7 – 11 odd, 17 – 21 odd.
Thursday
7.2:  confidence intervals for means, variance unknown.
7.3:  confidence intervals for proportions.
Wiki entry on the t-distribution.
Class examples.
7.2: 1, 3, 4, 5, 11-15 odd
7.3: 1 – 11 odd, add #2 as well.
Quiz 11 covers chapter 7.

Week 12.  April 15  - April 19.    
Day
Class Covers
Assignments, etc.
Tuesday
8.1:  Introduction to hypothesis testing.
My chapter 8 notes.
Some quick examples.
8.1: 1 - 13 odd.
Thursday
8.2: The Z-test.  Class examples. 8.2: 1 - 9 odd. 15, 17, 21, 23.

Week 13.  April 22 - April 26.
Day
Class Covers
Assignments, etc.
Tuesday
8.3, 8.4:   t-test, z-test for proportions.
Class examples.
When do you use which test
8.3: 1, 3, 7, 13, 17, 19.
8.4: 3- 13 odd. (15 -19 odd are good, but overkill for most of you.)

Thursday
Review for test 3.
When you are ready, there are 3 quizzes.
Quizzes 12, 13, and 14 cover hypothesis testing

Week 14.  April 29 - May 3.
Day
Class Covers
Assignments, etc.
Tuesday
Test 3.  Covers chapters 6, 7, and 8.
Thursday
Go over test 3, review for final.


Finals Week.  May 6 - May 9.  See the final exam schedule on the registrar's page.
Day
Class and Final Exam Time
Monday
Calculus II:  Monday, May 6, 2024    12:30 pm to 2:30 pm
Tuesday

Wednesday

Thursday
Statistics:  Thursday, May 9, 2024    12:30 pm to 2:30 pm