ATLANTA METROPOLITAN COLLEGE
The Division of Social Sciences
Course Outline for Spring 2008
COURSE ABBREVIATION SOSC 2225
CREDIT HOURS 3
COURSE TITLE Statistics for the Social Sciences
PREREQUISITES Exit from Learning Support English, Reading, and Math; MATH 1111 or Professor's Permission
INSTRUCTOR Michelle Geisert, Assistant Professor
Office S156 Phone 404-756-4711
Office Hours M/W TBA T/R 12:30-1:00 pm
email mgeisert@atlm.edu or michellegeisert@aol.com
CATALOG DESCRIPTION
This course examines descriptive and inferential methods of statistical analysis with emphasis on the application and interpretation
of statistics in social science disciplines.
COURSE GOALS Students read material, analyze and apply statistical methods to the social sciences.
TEXTBOOK
Healey, Joseph
Statistics:
A tool for Social Research. 2005. (7th ed) Belmont, CA Thompson Wadsworth ISBN 0-534-62794-3
CALCULATOR
Expensive Model TI83 (approximately $90)
Moderate Model: TI30X IIS (approximately $20)
Budget Model: whatever you have
LEARNING OUTCOMES
1. Personal/Social Development
Successful students will:
a. Complete all reading prior to class.
b. Complete all assigned homework
c. Listen actively, follow directions, and evaluate information.
d. Attend all class periods on time.
2. Oral Proficiency
Successful students will:
a. Demonstrate confidence in ability to communicate.
b. Contribute constructively to class discussion.
c. Use terminology appropriate to Statistics and the Social Sciences.
3. Reading Proficiency
Successful students will:
a. Use a dictionary for unfamiliar terminology.
b. Outline main topics in chapter.
c. Draw inferences and generalize from material presented in textbook.
4. Writing Proficiency
Successful students will:
a. Conduct scholarly research utilizing appropriate sources and technology that focuses on issues pertinent to the social
sciences.
b. Formulate and express thesis topic.
c. Provide adequate support for topic.
d. Develop a paper with a clear focus, logic and order.
e. Understand the difference between plagiarism and paraphrasing and quoting as well as write and cite sources according
to professional guidelines.
f. Use words, sentences and paragraphs that are complete, clear, correct, and concise.
g. Proofread for grammar and spelling.
h. Write a word processed paper and present findings to class.
COURSE CONTENT
The following activities will take place in the course:
a. Lecture and discussion of assigned readings
b. Instructor and students will work problems on the board
c. Assigned homework problems
d. Presentations of group research projects
e. Six exams
f. Cumulative Final Exam
ASSESSMENT: Course Grade
Exam 1 10 pts
90-100% (90-100 pts) = A
Exam 2 10 pts
80-89% (80- 89 pts) = B
Exam 3 10 pts
70-79% (70- 79 pts) = C
Exam 4 10 pts
60-69% (60- 69 pts) = D
Exam 5 10 pts
Below 60% (0-59) = F
Exam 6 10 pts
Project 10 pts
Assignments/Participation 5 pts
Final Cumulative Exam 25 pts
Total = 100 pts
CONTENT OUTLINE: (Any changes will be announced in class.)
Chapter 1: Introduction
1.1 Why Study Statistics
1.2 The Role of Statistics in Scientific Inquiry
1.3 The Goals of This Text
1.4 Descriptive and Inferential Statistics
1.5 Discrete and Continuous Variables
1.6 Level of Measurement
Part 1 Descriptive Statistics
2.1 Percentages and Proportions
2.2 Ratios, Rates, and Percentage Change
2.3-2.6 Frequency Distributions
2.7 Charts and Graphs
2.8 Interpreting Statistics
Chapter 3 Measures of Central Tendency
3.1 Introduction
3.2 The Mode
3.3 The Median
3.4 Other Measures of Position
3.5 The Mean
3.6 Some Characteristics of the Mean
3.7 Computing Measures of Central Tendency for Grouped Data
3.8 Choosing a Meaure of Central Tendency
Chapter 4 Measures of Dispersion
4.1 Introduction
4.2 The Index of Qualitative Variation
4.3-4.4 The Rage and Interquartile Range
4.5-4.8 The Standard Deviation
4.9 Interpreting Statistics
Chapter 5 The Normal Curve
5.1 Introduction
5.2 Computing Z scores
5.3 The Normal Curve Table
5.4 Finding Total Area above and below a score
5.5 Finding areas Between two scores
5.6 Using the Normal Curve to estimate probabilities
Part II Interential Statistics
Chapter 6 Introuction to Inferential Statistics
6.1 Introduction
6.2 Techniques for probability samples
6.3 EPSEM sampling techniques
6.4-6.5 The sampling distribution
6.6 Symbols and Terminology
Chapter 7 Estimation Procedures
7.1 Introduction
7.2 Bias and Efficiency
7.3-7.5 Estimation Procedures
7.6 A Summary of the Computation of Confidence Intervals
7.7 Controlling the Width of Interval Estimates
7.8 Interpreting Statistics
Chapter 8 Hupothesis Testing 1: The One-Sample Case
8.1 Introduction
8.2 An Overview of Hypothesis Testing
8.3 The Five-Step Model for Hypothesis Testing
8.4 One-Tailed and Two-Tailed Tests of Hypothesis
8.5 Selecting an Alpha Level
8.6 The Student's t Distribution
8.7 Tests of Hypotheses for Single Sample Proportions (Large samples)
Chapter 9 Hypothesis Testing II: The Two-Sample Case
9.1 Introduction
9.2 Hypothesis Testing with Sample Means (Large samples)
9.3 Hypothesis Testing with Sample Means (Small samples)
9.4 Hypothesis Testing with Sample Proportions (Large samples)
9.5 The Limitations of Hypothesis Testing
9.6 Interpreting Statistics
Chapter 10 Hypothesis Testing
10.1 Introduction
10.2 The Logic of the Analysis of Variance
10.3 The Computation of ANOVA
10.4 A Computational Shortcut
10.5 A Computational Example
10.6 A Test of Significance for ANOVA
10.7 An Additional Example for Computing and Testing the Analysis of Variance
10.8 The Limitations of the Test
10.9 Interpreting Statistics
Chapter 11 Hypothesis Testing IV: Chi Square
11.1 Introduction
11.2 Bivariate Tables
11.3 The Logic of Chi Square
11.4 The Computation of Chi Square
11.5 The Chi Square Test for Independence
11.6 The Chi Square Test: An example
11.7 Additional Application of the ChiSquare Test: Goodness of Fit
11.8 The Limitations of the Chi Square Test
11.9 Interpreting Statistics
*May include Chapter 15 on Correlation and Pearson's r
CLASS CALENDAR
Week Topic
1 Chapter 1: Introduction
2 Chapter 2: Basic Descriptive Statistics
3 Test 1 Ch 1 and 2
Chapter 3: Measures of Central Tendency
4 Chapter 3 cont
Chapter 4: Measures of Dispersion
5 Chapter 4: Cont
Test 2 Ch 3 and 4
6 Chapter 5: The Normal Curve
7 Chapter 6: Introduction to Inferential Statistics
Test 3 Ch 5 and 6
8 Chapter 7: Estimation Procedures
9 Test 4 Ch 7
Chapter 8: Hypothesis Testing I: The
One-Sample Case
10 Chapter 8 Continued
11 Chapter 9: Hypothesis Testing II: The Two-Sample Test
12 Test 5 Ch 8 and 9
12/13 Chapter 10 Hypothesis Testing III: The Analysis of Variance
14 Chapter 11 Hypothesis Testing IV: Chi Square
15 Test 6 Ch 10 and 11
*May include Chapter 15 on Correlation and Pearson's r
16 Presentations
Last class
Final Exam Chapters 1-11, *15
POLICIES
1. Make-up Exams: Missed examinations are at the discretion of the instructor. Students are expected to notify the instructor
as soon as possible and provide written verification of emergency.
2. Additional Assignments: Outside assignments are due when assigned and acceptance of late assignments is at the
discretion of the instructor. Students who know in advance they will miss a class are encouraged to email the assignment no
later than the due date. In class assignments cannot be made up. Statistics is an area where one must do the homework and
practice daily.
3. Attendance
Attendance is strongly encouraged as the field of statistics builds on itself. If you miss a class, you WILL be behind!
Attendence/participation is included in your grade.
4. Cheating and Plagiarism
Cheating is passing off someone else’s work as your own and includes copying exam answers, using notes or books during
examinations, and handing in someone else’s work. Plagiarism is the copying of materials directly from a source without
quotation marks and the appropriate citations. It is claiming another person’s work, ideas as your own. If there is
a suspicion of plagiarism, the students will be asked to submit notes and copies of research materials (books and articles).
Cheating and plagiarism is grounds for failure in this class and dismissal from AMC!
Additional Resources
1. Babbie, Earl (1979). The Practice of Social Research. 2nd edition. Belmont, CA. Wadsworth Publishing Co., Inc.
2. Galileo, online library: www.galileo.gsu.edu
3. McClave, Dietrich, and Sincich (1997). Statistics. 7th edition. Upper Saddle River, NJ. Prentice-
Hall, Inc.
4. Online learning center website to accompany text: http://sociology.wadworth.com/healey/statistics7e