You are a Social and Behavioral Science or Related Major and your high school GPA is 3.0 or higher. Is this correct? If not restart the math self-placement.

 

Your result is to take Math V44 Elementary Statistics OR PSY V04 Introductory Statistics for the Social and Behavioral Sciences.

 

Please check with an Academic Counselor to verify that this is the correct math class for you. Your major may also require you to take additional math classes. 

 

The course descriptions for both courses are below:

 

MATH V44 - ELEMENTARY STATISTICS 

4 Units 

C-ID: MATH 110
Hours: 4 lecture weekly 

This course introduces the use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making useful to students in areas such as business, economics, life science, social science, health science, and education. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square, and t-tests; hypothesis testing; and the use of technology for statistical analysis, including the interpretation of the relevance of the statistical findings. This course also provides supervised computer practice designed to assist students in calculations required in introductory statistics. 

Formerly Math 44. Transfer credit: CSU; UC; credit limitations - see counselor.

PSY V04 - INTRODUCTORY STATISTICS FOR THE SOCIAL AND BEHAVIORAL SCIENCES 

4 Units 

Recommended Preparation: ENGL V01A
C-ID: SOCI 125
Hours: 4 lecture weekly 

An introduction to the basic concepts of descriptive and inferential statistics which provides conceptual understanding of the applications of statistics in research, as well as in the social sciences and the related fields of business, education and health care. Areas of study include: descriptive procedures; probability and binomial distributions; correlation and regression; normal distribution; sampling distribution; central limit theorem; hypothesis testing using interval estimation, z-test, significance testing of correlations, one-and two-sample t-tests, ANOVA, chi-square, and other nonparametric techniques; and critical analyses of research designs. This course also provides supervised computer practice designed to assist students in data preparation including tables and graphical representations, statistical computations, and data analysis. Students will interpret computerized results and apply them in generating conclusions. 

Formerly Psych 4. Transfer credit: CSU; UC; credit limitations - see counselor. 

 

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