Applied Statistics – mth463 (3 credits)

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. In addition, this course examines the role of statistical analysis, statistical terminology, the appropriate use of statistical techniques, and interpretation of statistical findings through the applications and functions of statistical methods.

This undergraduate-level course is 5 weeks. This course is available to take individually or as part of a degree or certificate program. To enroll, speak with an Enrollment Representative.

Correlation and Regression

  • Predict the value of Y′ for a given value of X using a simple linear regression equation.
  • Determine the strength of the linear relationship between two variables.
  • Develop a simple linear regression equation.


  • Compute and interpret probabilities.
  • Distinguish between the terms probability distribution and random variable.
  • Compute probabilities of a Poisson probability distribution.
  • Compute probabilities of binomial experiments.

Probability Distribution

  • Describe the properties of the normal distribution.
  • Calculate probabilities for means and proportions based on a normal distribution using a z table.
  • Determine the appropriate confidence interval to construct.

Summarizing Data

  • Create a graphical representation of data.
  • Develop a frequency distribution based on raw data.
  • Interpret a graphical representation of data.
  • Calculate mean, median, and mode for ungrouped data.
  • Calculate range, variance, and standard deviation for ungrouped data.

Introduction to Statistics

  • Distinguish among the types of data.
  • Distinguish observational studies with designed experiments.
  • Identify sampling methods.
  • Explain experiment design.

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