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|STAT 15||STATISTICS FOR BUSINESS AND ECONOMICS||4 Units|
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
#1778 HYBRID LUSK W
& HYBRID LUSK W
No. 1778: TWO REQUIRED on-campus meetings: ORIENTATION, Friday, August 31, 3:00-5:00pm in R205. Students MUST attend Orientation for course information OR YOU MAY BE DROPPED. FINAL EXAM: Friday, December 14, 3:00-5:00pm in R409. Remaining class hours will be ONLINE. Students must have Internet access to complete this course.
|STAT 18||STATISTICS FOR BEHAVIORAL AND SOCIAL SCIENCES||4 Units|
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
#1194 8:50am-10:40am MWF Lecture C365 KIM J L
#0431 9:00am-11:45am TuTh Lecture C365 KIM J L
#0643 10:40am-12:30pm MWF Lecture C365 KIM J L
#2931 12:30pm- 2:20pm MWF Lecture C365 KIM J L
|STAT 50||ELEMENTARY STATISTICS||4 Units|
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
#0748 7:00am- 8:20am TuWThF Lecture R317 OBERLANDER
#1480 7:00am- 8:45am TuThF Lecture R205 CHAU E
#2724 7:00am- 9:40am TuTh Lecture R209 BALKIS Y
#0995 7:00am- 9:40am WF Lecture R209 PATVAKANYAN
#1817 8:20am- 9:40am TuWThF Lecture R317 OBERLANDER
#1609 8:45am-10:30am MWF Lecture R117 CHO J
#2552 9:40am-11:00am TuWThF Lecture R317 OBERLANDER
#1011 9:40am-12:20pm TuTh Lecture GM105 LOPEZ A
#1249 11:00am-12:20pm MTuThF Lecture R319 FACCUSEH M
#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.
#3431 1:20pm- 4:00pm TuTh Lecture R320 YANG R
#1395 4:00pm- 6:40pm MW Lecture R316 BA A
#2339 4:00pm- 6:40pm MW Lecture R108 SHAMAM A
#1444 4:00pm- 6:40pm MW Lecture R319 ZHUANG E
#0402 4:00pm- 6:40pm TuTh Lecture R117 BROWNE M
#2091 4:00pm- 6:40pm TuTh Lecture R321 SHAMAM A
#1721 4:50pm- 6:35pm MWF Lecture R321 STRINDEN C N
#2095 7:00pm- 9:40pm MW Lecture GM105 HURLEY D
#2111 7:00pm- 9:40pm MW Lecture R104 LAVALLEE C
#2625 7:00pm- 9:40pm MW Lecture R117 MKRTCHIAN S
#2127 7:00pm- 9:40pm TuTh Lecture R104 LOOP C
#1657 7:10pm- 9:50pm TuTh Lecture R319 HE F