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This course applies research and probability concepts to project management decisions. Students will evaluate feasibility, manage risk, and measure outcomes for a project. Other topics include measures of central tendency & dispersion, program evaluation, research design, data sampling, and analysis & presentation.
Make a recommendation about a problem or project based on data analysis results and conclusions drawn.
Interpret data analysis results to reach conclusions.
Compare the means of two or more groups.
Apply the steps in testing a research hypothesis.
Determine the data analysis approach for a data set.
Calculate the correlation between two variables.
Calculate central tendency and dispersion.
Differentiate between descriptive statistics and inferential statistics.
Prepare collected data for analysis.
Differentiate among sampling methods and their application in business research.
Develop the data collection instruments.
Differentiate among the four levels of measurement and how they are used in data collection for research.
Select the appropriate type of research design in a given business situation.
Explain commonly used qualitative research designs and quantitative research designs.
Differentiate between qualitative and quantitative methods of research.