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.
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.
- Apply the research process to collect, organize and interpret data.
- Perform chi-square analyses.
- Conduct hypothesis testing using ANOVA.
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.
Correlation and Regression Analysis
- Perform linear and multiple regression analyses.
- Perform correlation analyses.
Using Research Data for Business Decisions
- Use research data to make business decisions.
Research and Sampling Designs
- Formulate effective research questions.
- Construct a research design appropriate to given research questions.
- Construct confidence intervals for a mean.
- Apply the central limit theorem to sample means.
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