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

   #4466                                 ONLINE LUSK W      

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

   #5767  8:50am-10:40am MWF     Lecture C365   KIM J L     

   #4251  9:00am-11:45am TuTh    Lecture C365   KIM J L     

   #6074 10:40am-12:30pm MWF     Lecture C365   KIM J L     

   #6365 12:30pm- 2:20pm MWF     Lecture C365   KIM J L     

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

   #7216  7:00am- 8:20am MTuThF  Lecture R320   OBERLANDER  

   #5758  7:00am- 9:40am MF      Lecture R321   BALKIS Y    

   #6281  7:00am- 9:40am TuTh    Lecture R321   BADALIAN R  

   #6623  8:20am- 9:40am MTuThF  Lecture R320   OBERLANDER  

   #6199  9:40am-12:20pm TuTh    Lecture GM105  YANG R      

   #4698 11:00am-12:20pm MTuThF  Lecture R320   OBERLANDER  

   #5823  1:20pm- 4:00pm TuWThF  Lecture R117   CHO J       

         Short Term: 04/26/11-06/17/11

   #5384  1:20pm- 4:00pm TuTh    Lecture R207   MILLER G    

   #5508  2:40pm- 4:00pm MTuThF  Lecture R321   FACCUSEH M  

   #6866  2:40pm- 4:00pm TuWThF  Lecture R109   PETIKYAN G  

   #5875  4:00pm- 6:40pm MF      Lecture R104   SHAMAM A    

   #6200  4:00pm- 6:40pm TuTh    Lecture R109   LOOP C      

   #5671  6:00pm- 8:40pm MW      Lecture SPHS   KRISTEN J   

   #5095  7:00pm- 9:40pm MW      Lecture R109   HURLEY D    

   #5515  7:00pm- 9:40pm M       Lecture R104   BA  A       

       &  8:00am-10:40am Sat             R104   BA  A       

   #4099  7:00pm- 9:40pm TuTh    Lecture R321   MILLER G    

   #6798  7:00pm- 9:40pm W       Lecture R104   PATVAKANYAN 

       & 10:40am- 1:20pm Sat             R104   PATVAKANYAN 

   #6086  7:10pm- 9:50pm MW      Lecture R321   WALDRON B