Course Description & Goals
Math 160 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
Math 160 Course Goals
The course goals (also referred to as the Student Learning Outcomes) are the achievements that students will obtain by the end of the course.
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.