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Applied Business Research & Statistics –

qnt561

(3 credits)

This course prepares students to apply statistics and probability concepts to business decisions. Students learn important criterion for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysis – including parametric and nonparametric tests of hypothesis and regression analysis.
This graduate-level course is 6 weeks. To enroll, speak with an Enrollment Advisor.
  • Research and Sampling Designs

    • Apply the central limit theorem to sample means.
    • Construct confidence intervals for a mean.
    • Construct a research design appropriate to given research questions.
    • Formulate effective research questions.
  • Correlation, Linear Regression, and Multiple Regression Analysis

    • Perform correlation, linear regression, and multiple regression analysis.
  • Data Analysis

    • Perform variance and chi-square analyses.
    • Conduct one- and two-sample tests of hypotheses.
  • Data Collection

    • Construct effective questionnaires and surveys.
    • Determine appropriate measurement scales for a given research design.
  • Research Methods and Business Decisions

    • Apply concepts of probability to business decisions.
  • Descriptive Statistics and Probability Distributions

    • Apply probability concepts related to discrete and continuous probability.
    • Compute descriptive statistics for given data sets.

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