Prerequisite(s): Math 131 or 133B or 134B or 141 or placement based on the Math assessment process.
(Mathematics Division) Analysis of data relative to social and natural processes. Collecting, grouping and presenting numerical data by means of: frequency distributions, measures of central tendency and deviation, probability and sampling, measures of prediction and correlation, linear regression, hypothesis testing, including analysis of variance. No credit if taken after Stat 15 or 18. Total of 90 hours lecture. Transfer Credit: CSU; UC credit limitations. See counselor. Grading: Letter Grade or Pass/No Pass

#2338 1:20pm- 4:00pm MTuThF Lecture R104 BOBER S M Short Term: 10/22/12-12/13/12 No. 2338: This class is part of the Math Path program. For information about the program and how to enroll in this course, please visit:www.pasadena.edu/mathpath.