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.
Descriptive Statistics and Probability Distributions
Apply probability concepts related to discrete and continuous probability.
Apply probability concepts to business decisions.
Compute descriptive statistics for given data sets.
Research and Sampling Designs
Formulate effective research questions.
Construct a research design appropriate to given research questions.
Apply the central limit theorem to sample means.
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.
Conduct hypothesis testing using ANOVA.
Perform chi-square analyses.
Apply the research process to collect, organize and interpret data.
Correlation and Regression Analysis
Perform correlation analyses.
Perform linear and multiple regression analyses.
Using Research Data for Business Decisions
Use research data to make business decisions.
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