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Statistics –

mat230

(3 credits)

This course surveys descriptive and inferential statistics with an 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.
This undergraduate-level course is 9 weeks. To enroll, speak with an Enrollment Advisor.
  • Chi-Squares

    • Determine normality using goodness-of-fit tests.
    • Perform a chi-square test using equal expected frequencies.
  • Two-Sample Tests and ANOVA Applications, Part II

    • 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.
  • Two-Sample Tests and ANOVA Applications, Part I

    • 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.
  • Hypothesis Testing, Part II

    • 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.
  • Hypothesis Testing, Part I

    • 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, Part II

    • 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.
  • Describing Data – Distribution, Variation, and Standard Normal Distribution, Part I

    • 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, Part II

    • Create graphical display of information.
    • Develop a frequency distribution.
    • Identify levels of measurement.
    • Classify data.
    • Identify symbols and nomenclature used in statistics.
  • Introduction to Statistics and Graphical Display of Information, Part I

    • Create graphical display of information.
    • Develop a frequency distribution.
    • Identify levels of measurement.
    • Classify data.
    • Identify symbols and nomenclature used in statistics.

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