Offered spring semester. Offered as demand warrants in the summer session. Three hours lecture and discussion a week. Organization and analysis of data, frequency distribution, average, measures of variability, probability, normal distribution, sampling, estimation, hypothesis, quality testing control, significance levels, t test, z test, chi square test, regression and correlation index numbers. This course includes the use of computers to analyze statistical data. Prior experience with computers is not necessary. Prerequisite: Appropriate Placement Assessment score or grade of "C" or better in Mathematics 93 or 96 or a grade of "D" or better in Mathematics 105.
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