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. This course is available to take individually or as part of a degree or certificate program. To enroll, speak with an Enrollment Representative.

Data Analysis

  • Conduct hypothesis testing using ANOVA.
  • Apply the research process to collect, organize and interpret data.
  • Perform chi-square analyses.

Correlation and Regression Analysis

  • Perform correlation analyses.
  • Perform linear and multiple regression analyses.

Research and Sampling Designs

  • Apply the central limit theorem to sample means.
  • Formulate effective research questions.
  • Construct a research design appropriate to given research questions.
  • Construct confidence intervals for a mean.

Data Collection and Hypothesis

  • Determine appropriate measurement scales for a given research design.
  • Construct effective questionnaires and surveys.
  • Conduct hypothesis testing using one- and two- sample t-tests.

Descriptive Statistics and Probability Distributions

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

Using Research Data for Business Decisions

  • Use research data to make business decisions.

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