Course Description & Student Learning Outcomes

Course Description

4 hours lecture, 4 units

The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education.

Prerequisite: “C” grade or higher or “Pass” in MATH 096 or 110 or equivalent

A flow chart of the statistics cycle. It starts with producing data from a population, then exploratory data analysis, followed by probability and inference about the population.

The Big Picture of Statistics

Upon completing this course successfully, the Student Learning Outcomes state that you should be able to:

Upon successful completion of this course, students will be able to:

Use analytical, numerical, and graphical methods to solve statistics problems
Solve multi-disciplinary application problems and interpret the results in context
Perform statistical analysis using technology such as SPSS or other equivalent statistical software.

Any information in this syllabus is tentative and may change at the discretion of the instructor at any time. This course adheres to the policies outlined in the Cuyamaca College catalog. For further information, see Academic Policies stated in the catalog.

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