Prerequisite(s): Bus 14A or placement based on the Business assessment process.
(Business and Computer Technology Division) Descriptive and inferential statistics. Collection, analysis and presentation of business and economic data using frequency distributions, charts, number summaries and other graphic methods: Measures of central tendency, deviation and distribution shape. Basic probability theory and operations. Discrete and continuous distributions : Normal, binomial, hypergeometric, Poisson, chi square and F. Sampling theory, point and interval estimation, hypothesis testing (large and small samples,) analysis of variance, covariance, correlation, regression, and non-parametric methods using calculators and computers. No credit if taken after Stat 18 or 50. Total of 72 hours lecture. Transfer Credit: CSU Grading: Letter Grade Only

#0162 HYBRID LUSK W Short Term: 01/9/12-02/16/12 No. 0162: Two REQUIRED on-campus meetings: Thursday, January 12, 6-8pm in R211. Students must come or you may be dropped. Final Examination: Thursday, February, 16, 6-8pm in R211. Students must have Internet access to complete this course.

Prerequisite(s): Math 131 or 133B or 134B or placement based on the statistics assessment process.
(Social Sciences Division) Basic statistics for majors in anthropology, economics, psychology and sociology; tables, charts, summary measures, regression and correlation, statistical inference, sampling, variance, nonparametric and parametric tests, simple multivariate analysis; use of calculators and EXCEL. No credit if taken after Stat 15 or 50. Total of 90 hours lecture. Transfer Credit: CSU; UC credit limitations. See counselor. Grading: Letter Grade or Pass/No Pass

   #0435  8:15am-   Noon MTuWTh  Lecture C365   KIM J L     

         Short Term: 01/9/12-02/16/12

   #0023    Noon- 3:55pm MTuWTh  Lecture C365   KIM J L     

         Short Term: 01/9/12-02/16/12

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

   #0093 10:00am- 1:45pm MTuWTh  Lecture R221   FACCUSEH M  

         Short Term: 01/9/12-02/16/12

   #0995  1:00pm- 4:00pm MTuWThF Lecture R318   KASFY H     

         Short Term: 01/9/12-02/16/12