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.
Introduction to Statistics and Graphical Display of Information
Identify symbols and nomenclature used in statistics.
Identify levels of measurement.
Develop a frequency distribution.
Create graphical display of information.
Describing Data – Distribution, Variation, and Standard Normal Distribution
Calculate mean, median, and mode for ungrouped data.
Calculate range, standard deviation, and variance for ungrouped data.
Interpret the significance of standard deviation using the empirical rule.
Compute probabilities using z score.
Perform the five steps in hypothesis testing with one- and two-tailed z tests.
Perform the five steps in hypothesis testing with one- and two- tailed t tests.
Two-Sample Tests and ANOVA Applications
Perform two-sample testing for independent samples.
Perform two-sample testing for dependent samples.
Perform one-way and two-way ANOVA testing.
Interpret output of one-way and two-way ANOVA tests.
Perform a chi-square test using equal expected frequencies.
Determine normality using goodness-of-fit test.
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