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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. To enroll, speak with an Enrollment Advisor.
  • Summarizing Data

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

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

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

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

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

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