Research And Evaluation II –

res342

(3 credits)

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

One Sample Hypothesis Testing

  • Interpret the results of hypothesis tests.
  • Perform a hypothesis test of one population mean using the standard normal distribution.
  • Perform a hypothesis test of one proportion.
  • Identify the formal hypothesis testing process.

Time Series and Forecasting

  • Make business decisions utilizing statistical and research outcomes.
  • Apply a time series analysis to forecast.

Regression Analysis in Research

  • Interpret the results of a multiple regression.
  • Interpret the results of a simple regression.
  • Perform a linear regression.
  • Interpret the correlation coefficient.

Nonparametric Tests in Research

  • Interpret the results of a nonparametric hypothesis test.
  • Analyze data with Chi-Square.
  • Differentiate among various nonparametric tests.
  • Determine when to use nonparametric tests in business.

Two or More Sample Hypothesis Testing

  • Perform an ANOVA.
  • Determine when to use an ANOVA for managerial decisions.
  • Perform a hypothesis test of two proportions.
  • Perform a hypothesis test of two population means using the standard normal distribution.
  • Apply hypothesis testing to different populations and samples in business research situations.

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