Week Sections
------------------- ----------------------------------
[1] May 7 - May 11 1.1 Statistics and Data
*Classes begin 1.2 Measurement Levels of Data
8:00 a.m. Monday 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
2.3 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
3.4 Other Measures of Spread
3.5 Adding a Constant
3.6 Multiplying by a Constant
3.7 Using the TI-83
[2] May 14 - May 18 4.1 Computing Probabilities Using the Mean and SD
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
5.2 Estimating the Population Proportion p
[3] May 21 - May 25 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
7.1 Estimating the Population Mean Using Intervals
7.2 t-based Confidence Interval for the Mean
[4] May 28 - June 1 Exam 1 -- May 29 All Sections
in your own classroom
7.3 Determining Sample Size for Estimating the Mean
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
[5] June 4 - June 8 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
8.1 Test of Significance involving the Sample Average
8.2 Using the TI-83
8.3 Using Excel
[6] June 11 - June 15 9.1 Testing for Independence between Two Variables Using an
r x c Table
9.2 Testing for Equality of Proportions Between Two Samples
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*
11.1 Simple Linear Regression
11.2 Calculating the Least Squares Regression Line
11.3 More on Simple Regresssion
[7] June 18 - June 22 11.4 Multiple Linear Regression
11.5 Optional: The Multicollinearity Problem
11.6 Using Excel
Review
[8] June 25 - June 27 *Final Exam week*
The Final Exam is
*Section 20216: Tuesday, June 26 0900-1130.*
*Section 20219: Tuesday, June 26 1200-1430.*
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 http://catalog.wmich.edu 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 your instructor if you are uncertain about an issue of academic honesty prior to the submission of an assignment or test." Also review these sites for the Code of Honor and general academic policies on such issues as diversity, religious observance, student disabilities, etc.: http: //osc.wmich.edu and www.wmich.edu/registrar.