SYLLABUS
MA 243 Statistics
Summer 2004
Professor: Dr. Marie Schwab Miller
Office: C326
Telephone:457 (Off campus dial 229-8457.)
E-mail Address: dr_msmiller@hotmail.com
Course Number: MA 243
Credits: 3
Classroom: Internet Course
Catalog Description: An introductory course in statistical methods used in research dealing with descriptive and inferential statistics. The course includes measures of central tendency, measures of variability, graphing, z-scores and t-tests, frequency distributions, and correlation.
Goal: To prepare students to read and understand research which reports and interprets findings using statistical methods and to prepare students who will attend graduate school for advanced study of statistics.
Objectives: To understand and apply knowledge in the following areas:
- Data Distribution and Graphs
- Descriptive Statistics
- Probability and Normal Distribution
- Sampling Distributions and Interval Estimation
- Tests of Significant Difference
- Correlation
Instructional Techniques:
- notes
- practice exercises
- worksheets
Assessment/Grading and Assignments:
- Tests are to be taken just as they would be in a classroom, that is, without the use of your book (other than tables in the appendix, which will be needed for some exams) or notes. You are not to collaborate with or seek help from another student as you test. This course is on the honor system.
- Tests will be taken over each lesson. Students who are dissatisfied with their learning may choose to retest. Points from this work will be totaled and assigned a grade based on the following scale:
90 - 100% = A
80 - 89% = B
70 - 79% = C
60 - 69% = D
0 - 59% = F
- No extra-credit work of any kind will be assigned.
Textbook: Basic Statistics for the Social and Behavioral Sciences Diekhoff
Outline of Topics:
- Lesson 1: Chapter 1 The Whats and Wherefores of Statistics
- Lesson 2: Chapter 2 Data Distributions and Graphs
- Lesson 3: Chapter 3 Descriptive Statistics
- Lesson 4: Chapter 4 Probability and the Normal Distribution
- Lesson 5: Chapter 5 Sampling Distributions and Interval Estimation
- Lesson 6: Chapter 6 One-Sample Significant Difference Tests
- Lesson 7: Chapter 7 Two-Sample Significant Difference Tests
- Lesson 8: Chapter 10 Correlation
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