MATH 236

Introduction to Applied Statistics

3.0 hours lecture per week.
Associate Degree Applicable.
Prerequisite: MATH 127 or equivalent with a grade of C or better.
Presents an introduction to the study of basic descriptive and inferential statistical methods, with an emphasis on applications, to prepare students for work in the disciplines of psychology, sociology, education, life sciences, and applied science.
Transfer: CSU; UC (For UC, 4 credit maximum between MATH 236 and 247).

Student Learning Outcomes

By the end of this course, the student will be able to:

1. Distinguish different types of data and organize data into appropriate tables and graphical displays

2. Calculate summary measures including point and interval estimators of population parameters and
interpret them

3. Calculate probabilities for simple experiments

4. Describe the process of sampling and apply a method of sampling to a real-world estimation problem

5. Perform hypothesis tests to answer specific research questions and interpret the results

6. Calculate and interpret measures of association between numerical variables (using methods of
regression analysis) and between categorical variables (using methods of chi-square analysis)