Spring 2019 Course Syllabi

Instructor: Tracy Chisholm Office : Nelson Science Center, Room 112 Phone : (701) 228-5424 E-mail : tracy.chisholm@dakotacollege.edu Office Hours : Mon-Wed, Fri 3-4pm or by appointment Tentative Course Outline : Chapter Topic Dates Chapter 1 Data Collection Weeks 1-2 Chapter 2 Organizing and Summarizing Data Weeks 2-3 Chapter 3 Numerically Summarizing Data Weeks 3-4 Chapter 4 Describing the Relation between Two Variables Weeks 4-5 Chapter 5 Probability Weeks 6-7 Chapter 6 Discrete Probability Distributions Weeks 7-8 Chapter 7 The Normal Probability Distribution Weeks 8-9 Chapter 8 Sampling Distributions Week 10 Chapter 9 Estimating the Value of a Parameter Weeks 10-11 Chapter 10 Hypothesis Tests Regarding a Parameter Weeks 12-13 Chapter 11 Inferences on Two Samples Weeks 14-15 Chapter 12 Inference on Categorical Data Week 15 Chapter 13 Comparing Three or More Means Week 16 Required Text: Statistics: Informed Decisions Using Data, Fifth Edition by Michael Sullivan, III Pearson Publishing. MyMathLab Learning Software Website : www.mymathlab.com Course Requirements: Daily attendance is expected and can influence your grade. Learning any type of math is an investment of time. It takes place through participation and engagement in the material and the course; thus, it is essential that you attend and actively participate in class. You cannot recreate what happens in class.