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MA 222 — Statistical Analysis

3 credits; 2 lecture and 2 lab hours

Studies the principles and methods of statistical analysis including probability distributions, sampling distributions, error of estimate, significance tests, correlation and regression, chi-square, and ANOVA. Introduces the use of the computer to store, manipulate, and analyze data. (G2: Mathematics)
Prerequisite(s): mathematic proficiency (see beginning of Mathematics section).