Syllabus

Course Objectives

Math 107 is an introductory level course in statistics. While many students who take this course are taking it as a prerequisite for later coursework in their major, a significant number of the students taking this course are simply taking it to fulfil the quantitative general education requirement. My goal is to make this course useful and rewarding for both audiences.

Course Structure

This course will be organized as a standard lecture course. We will be covering roughly one chapter a week. My lectures will be based fairly closely on the text. If you miss a class, you will be responsible for reading the section we covered in that class.

We will be having two midterm exams and a final. In addition to the major exams, there will be a short in-class quiz roughly once a week.

Text

The text for this course is Introduction to the Practice of Statistics, 4th Edition, David S. Moore and George P. McCabe, 2002, W.H. Freeman and Company

The textbook has a very helpful web page: www.whfreeman.com/ips4e

Web Site

I will be maintaining a course web site at www.lawrence.edu/fac/greggj/math107.html. All of the examples I show from my laptop in class will be available at that web site.

Grading Policy

Your grade will be based on two midterm exams, quizzes, and a final exam according to the following weightings.

Short quizzes                                   30%

Midterm exams                              20% each

Final exam                                      30%

Office Hours

My office hours this term are from 1-3 MTWF and 3-4 Th. If you can not come in at one of these times, please talk to me about alternate times. My office is Briggs Hall 413. You can reach me at extension 6736 or via e-mail at greggj@lawrence.edu.


Detailed Course Schedule

Date

Topics

Sections

M -March 31

Introduction, Graphs

1.1

W - April 2

Numerical summaries, Normal distribution

1.2, 1.3

F - April 4

Scatter plots, quiz

2.1

M - April 7

Correlation

2.2

W - April 9

Regression

2.3, 2.4

F - April 11

Correlation and causation, quiz

2.5

M - April 15

Collecting data, experimental design

3.1, 3.2

W - April 17

Sampling design

3.3

F - April 19

Sampling distributions

3.4

M - April 22

Review

 

W - April 24

First Midterm

 

F - April 26

Randomness, probability models

4.1, 4.2

M - April 29

Random variables

4.3

W - April 31

Mean and variance of random variables

4.4

F - May 2

Sampling distributions for counts and proportions, quiz

5.1

M - May 5

Sampling distribution of a sample mean

5.2

W - May 7

Confidence intervals

6.1

M - May 12

Significance testing, quiz

6.2

W - May 14

Significance testing

6.3

F - May 16

Review

 

M - May 19

Second Midterm

 

W - May 21

t test

7.1

F - May 23

Comparing two means

7.2

W - May 28

Inference for a single proportion, quiz

8.1

F - May 30

Comparing two proportions

8.2

M - June 2

Data analysis for two-way tables

9.1

W - June 4

Inference for two-way tables

9.2

F - June 6

Review