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Statistical Applications –

hcs438

(3 credits)

The emphasis in this statistical applications course is on thinking about research issues in a statistically sound and practical fashion. Students will learn to formulate and ask the right questions, how to collect data effectively, how to summarize and interpret information, and how to understand the limitations of statistical inferences.
This undergraduate-level course is 5 weeks. To enroll, speak with an Enrollment Advisor.
  • Statistical Software Application

    • Identify the benefits of using statistical software for data analysis.
  • Types of Statistical Techniques

    • Interpret the results of various types of statistical tests in health care research.
    • Differentiate between parametric and nonparametric statistics.
  • Inferring from Data

    • Interpret statistical significance.
    • Describe the two types of errors that are present in hypothesis testing.
  • Describing Data

    • Describe the standard normal distribution.
    • Interpret measures of variability.
    • Interpret measures of central tendency.
  • Data Analysis and Measurement in Statistics

    • Analyze a visual display of data
    • Differentiate the four levels of measurement.
    • Describe the differences between descriptive and inferential statistical analysis.
    • Describe the role of data analysis in the research process.

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