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Quantitative Analysis For Business –

qnt351

(3 credits)

This course integrates applied business research and descriptive statistics. Students will learn to apply business research and descriptive statistics in making better business decisions. Other topics include examination of the role of statistics in research, statistical terminology, the appropriate use of statistical techniques, and interpretation of statistical findings in business and research.
This undergraduate-level course is 5 weeks. To enroll, speak with an Enrollment Advisor.
  • Understanding the Meaning of Statistics

    • Differentiate among the four levels of measurement and how they are used in data collection for research.
    • Differentiate between qualitative and quantitative variables.
    • Explain the role of statistics in business research and its application in business decision making.
  • Integrating Research and Statistics

    • Make a recommendation about a problem based on data analysis results and conclusions drawn.
    • Interpret data analysis results to reach conclusions.

    • Select an appropriate statistical test for analysis research data based on research questions and data type.
  • Hypothesis Testing

    • Calculate the correlation between two variables.
    • Compare the means of two or more groups.
    • Apply the steps in testing a research hypothesis.
  • Probability Concepts and Continuous Probability

    • Calculate area between two data values and area above or below a certain value.
    • Describe characteristics of standard normal distribution.
    • Explain discrete and continuous probability, rules of probability, and classical, empirical, and subjective approaches to probability.
  • Describing Data

    • Describe the shape of data distribution in charts—box plot, stem and leaf plot, dot plot, and so on.
    • Calculate central tendency and dispersion.
    • Present qualitative and quantitative data in tables and charts.

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