This course surveys descriptive and inferential statistics with emphasis on practical applications of statistical analysis. The principles of collecting, analyzing, and interpreting data are covered. It examines the role of statistical analysis, statistical terminology, the appropriate use of statistical techniques, and interpretation of statistical findings through applications and functions of statistical methods.
Perform the five steps in hypothesis testing with one- and two- tailed t tests.
Perform the five steps in hypothesis testing with one- and two-tailed z tests.
Describing Data – Distribution, Variation, and Standard Normal Distribution
Compute probabilities using z score.
Interpret the significance of standard deviation using the empirical rule.
Calculate range, standard deviation, and variance for ungrouped data.
Calculate mean, median, and mode for ungrouped data.
Introduction to Statistics and Graphical Display of Information
Create graphical display of information.
Develop a frequency distribution.
Identify levels of measurement.
Identify symbols and nomenclature used in statistics.
Determine normality using goodness-of-fit test.
Perform a chi-square test using equal expected frequencies.
Two-Sample Tests and ANOVA Applications
Interpret output of one-way and two-way ANOVA tests.
Perform one-way and two-way ANOVA testing.
Perform two-sample testing for dependent samples.
Perform two-sample testing for independent samples.
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