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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. To enroll, speak with an Enrollment Advisor.
  • One Sample Hypothesis Testing

    • Identify the formal hypothesis testing process.
    • Perform a hypothesis test of one proportion.
    • Perform a hypothesis test of one population mean using the standard normal distribution.
    • Interpret the results of hypothesis tests.
  • Two or More Sample Hypothesis Testing

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

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

    • Interpret the correlation coefficient.
    • Perform a linear regression.
    • Interpret the results of a simple regression.
    • Interpret the results of a multiple regression.
  • Time Series and Forecasting

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

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