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HCS438 Statistical Applications

Course Description

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.

Topics and Objectives

Data Analysis and Measurement in Statistics

  • Describe the role of systematic data analysis in the research process.
  • Describe the differences between descriptive and inferential statistical analysis.
  • Differentiate the four levels of measurement.
  • Analyze a chart or graph.

Describing Data

  • Interpret measures of central tendency.
  • Interpret measures of variability.
  • Describe the standard normal distribution.

Inferring from Data

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

Types of Statistical Techniques

  • Differentiate between parametric and nonparametric statistics.
  • Determine appropriate use of various types of tests in health care research.
  • Interpret the results of various types of statistical tests in health care research.

Statistical Software Application

  • Identify the benefits of using statistical software for data analysis.
  • Compare and contrast the capability of a spreadsheet program with the capability of a statistical analysis software program.

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