Introduction to Data Analysis

Student Learning Outcomes, Goals, Objectives:

Students successfully completing this course will be able to:

• Understand commonly used sociological statistical tests, ranging from descriptive statistics to multivariate analyses.

• Distinguish between descriptive and inferential forms of statistics

• Summarize, organize and communicate complex data in the form of tables and graphs

• Calculate fundamental statistics and conduct statistical tests including descriptive statistics, t-tests, ANOVA, Chi-Square and Regression analysis.

• Read statistical tables and interpret them.

• Understand the fallacies associated with each statistical tools and methods.

Course Grading Information:

Activity/Performance Measure	Percentage/Points
Weekly Discussions	15 points
Weekly Quizzes	30 points
Midterm	15 points
Final Exam	35 points
Attendance/Participation	5 points

Attendance/Participation:

Your overall attendance and participation will be 5 pts. If you are taking this class online, your attendance and participation will be rated based on how you interact in the discussion boards.

Course Materials Purchased by the Students:

No books will be purchased by the students. We will be using an online, open source textbook edited by David M. Lane, titled “Introduction to Statistics: An Interactive e-Book”. For your convenience, this book is free and available for at multiple formats. Related sections have already been uploaded on the CANVAS site.