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. This course is available to take individually or as part of a degree or certificate program. To enroll, speak with an Enrollment Advisor.

Introduction to Statistics and Graphical Display of Information, Part I

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

Introduction to Statistics and Graphical Display of Information, Part II

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

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

  • 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.

Describing Data – Distribution, Variation, and Standard Normal Distribution, Part II

  • 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.

Hypothesis Testing, Part I

  • 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.

Hypothesis Testing, Part II

  • 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, Part I

  • 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.

Two-Sample Tests and ANOVA Applications, Part II

  • 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.

Chi-Squares

  • Perform a chi-square test using equal expected frequencies.
  • Determine normality using goodness-of-fit tests.

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