Research and Evaluation II

Course Description

This course integrates applied business research and descriptive statistics. Examination of the role of statistics in research, statistical terminology, the appropriate use of statistical techniques and interpretation of statistical findings in business and research will be the primary focus.

Topics and Objectives

Hypothesis Testing

  • Identify a hypothesis.
  • Formulate a hypothesis using the five-step process.
  • Perform a hypothesis test using the standard normal distribution.
  • Explain how to use hypothesis testing to evaluate possible solutions to a business research problem.

Populations and Samples used in Research

  • Apply hypothesis testing to different populations and samples in business research situations.
  • Compare and contrast parametric and nonparametric business scenarios.

Analysis of Variance (ANOVA) and Nonparametric tests in research

  • Determine when to use an ANOVA for managerial decisions.
  • Perform an ANOVA.
  • Interpret the results of an ANOVA.
  • Perform a nonparametric test.
  • Interpret the results of a nonparametric test.

Regression Analysis in Research

  • Determine when to use regression analysis.
  • State the limitations of regression analysis.
  • Perform a simple linear regression analysis.
  • Interpret the results of a simple linear regression analysis.

Business Research in the Modern Environment

  • Make business decisions utilizing statistical and research outcomes.

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