Study and application of the concepts and procedures of descriptive statistics, probability theory and inferential statistics. In descriptive statistics: organize, summarize and display data including frequency tables and histograms; exploratory data analysis; measures of central tendency, variation and position. In probability theory: fundamental rules and definitions of probability; counting; central limit theorem; probability distributions including the binomial, normal, Student T, chi-square, and F. In inferential statistics: estimation and hypothesis testing for means, proportions and variances; contingency tables; ANOVA models; linear regression and correlation; nonparametric methods. Applications may be included from various fields such as biology, business, economics, education, engineering, demography and psychology.
AA/AS GE, CSU, CSU GE, IGETC, UC credit limit
Prerequisite: MATH 103 or 110 or equivalent with a grade of “C” or better or “Pass”.
Recommended Preparation: None
3 UNITS: 3 hours lecture, 1 hour laboratory