MA 205 - Elementary Statistics
The main goal of this course is to teach students the fundamental procedures behind basic statistic practice, as well as to introduce students to how real-world data can be investigated through these procedures. To achieve these goals, students will complete weekly problem sets, written assignments investigating the lesson’s content, projects based on real-world data, and on-line quizzes to assess knowledge. A proctored final exam will assess all covered content. Topics covered are basic statistical vocabulary, graphical presentations of data, basic numerical descriptive measures, basic probability, discrete and continuous distributions of data, confidence intervals, formal hypothesis testing, comparison of two variables, analysis of variance, chi-square hypothesis testing, and simple linear regression.
Prerequisites & Notes
This course is offered online as part of the General Studies curriculum with monthly start dates.
It will also be offered during the 2017 summer session with an on campus component.
Assignments: 4 Units
Final Assessment: Proctored Final Exam
Course Learning Objectives
Upon completion of this course, you should be able to do the following:
- Apply your working knowledge of the basic concepts used in statistics;
- Interpret statistics used in a variety of research settings;
- Demonstrate your familiarity with statistical software through the use and application of SPSS; and
- Use fundamental statistical knowledge to interpret more advanced statistical procedures.
Credits: 3 Offered: Online: Summer 2017, Week 2
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