Week Sections
------------------- ----------------------------------
[1] Sep 2 - Sep 5 1.1 Statistics and Data
*Classes begin 1.2 Measurement Levels of Data
8:00 a.m. Tuesday 1.3 Summarizing Categorical Data
1.4 Summarizing Numerical Data
1.5 Using the TI-83
1.6 Using Excel
2.1 Sample Survey
2.2 Methods of Sample Selection
[2] Sep 8 - Sep 12 2.3 Types of Surveys
2.4 Some Issues in question Construction
2.5 Types of Survey Errors
2.6 A Questionnaire Example
3.1 Measures of Location
3.2 The Average and SD
3.3 Other Measures of Location
[3] Sep 15 - Sep 19 3.4 Other Measures of Spread
3.5 Adding a Constant
3.6 Multiplying by a Constant
3.7 Using the TI-83
4.1 Computing Probabilities Using the Mean and SD
[4] Sep 22 - Sep 26 4.2 Binomial Probabilities
4.3 Computing Binomial Probabilities Using the Normal Curve
4.4 Using the TI-83
4.5 Using Excel
5.1 The Sample Proportion
[5] Sep 29 - Oct 3 5.2 Estimating the Population Proportion p
6.1 Behavioral Properties of the Sample Average
6.2 Drawing from a Non-normal Population
6.3 Estimating the Population Mean Using a Random Sample
[6] Oct 6 - Oct 10 Exam 1 -- Oct. 6 or Oct. 7 in your own classroom
7.1 Estimating the Population Mean Using Intervals
7.2 t-based Confidence Interval for the Mean
7.3 Determining Sample Size for Estimating the Mean
[7] Oct 13 - Oct 17 7.4 Comparing the Averages of Two Independent Samples
7.5 Comparing Averages of Two Paired Samples
7.6 Estimating the Population Proportion Using Intervals
[8] Oct 20 - Oct 24 7.7 Sample Size for Estimating the Population Proportion
7.8 Confidence Interval for the Difference Between Two
Proportion
7.9 Overview of Confidence Intervals
7.10 Using the TI-83
[9] Oct 27 - Oct 31 8.1 Test of Significance involving the Sample Average
[10] Nov 3 - Nov 7 8.1 Test of Significance involving the Sample Average
(Continued)
8.2 Using the TI-83
8.3 Using Excel
[11] Nov 10 - Nov 14 Exam 2 -- Nov. 10 or Nov. 11 in your own classroom
9.1 Testing for Independence between Two Variables Using an
r x c Table
9.2 Testing for Equality of Proportions Between Two Samples
[12] Nov 17 - Nov 21 9.3 Using the TI-83
*Note: We will 10.1 Correlation
use Excel for 10.2 Computing the Pearson Correlation Coefficient
correlation
and regression
calculations*
[13] Nov 24 - Nov 26 11.1 Simple Linear Regression
11.2 Calculating the Least Squares Regression Line
11.3 More on Simple Regresssion
* Thanksgiving
break starts at noon*
[14] Dec 1 - Dec 5 11.4 Multiple Linear Regression
11.5 Optional: The Multicollinearity Problem
11.6 Using Excel
Review
[15] Dec 8 - Dec 12 *Final Exam week*
*The Final Exam is Friday, Dec 12 8:00-10:00. This is a MASS EXAM*
Undergraduate level MATH 1160 Minimum Grade of C or Undergraduate level MATH 1180 Minimum Grade of C or Undergraduate level MATH 1220 Minimum Grade of C or Undergraduate level MATH 1230 Minimum Grade of C. Any student who has completed one or both of these requirements elsewhere, or with classes other than Math 116, must go to 3303 Everett Tower, and verify eligibility to take Stat 2160. STUDENTS FAILING TO MEET THE PRE-REQUISITE WILL BE DROPPED FROM THE COURSE BY THE DEPARTMENT ON THE LAST DAY OF THE DROP/ADD PERIOD. The fee to be re-admitted into a course after the drop and add period is $50.
You are responsible for making yourself aware of and understanding the policies and procedures in the Undergraduate and Graduate Catalogs that pertain to Academic Honesty. These policies include cheating, fabrication, falsification and forgery, multiple submission, plagiarism, complicity and computer misuse. [The policies can be found at www.www.wmich.edu/catalog under Academic Policies, Student Rights and Responsibilities.] If there is reason to believe you have been involved in academic dishonesty, you will be referred to the Office of Student Conduct. You will be given the opportunity to review the charge(s). If you believe you are not responsible, you will have the opportunity for a hearing. You should consult with me if you are uncertain about an issue of academic honesty prior to the submission of an assignment or test.
Updated: