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

Describing Data

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

Probability Concepts and Continuous Probability

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

Hypothesis Testing

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

Integrating Research and Statistics

• Select an appropriate statistical test for analysis research data based on research questions and data type.
• Interpret data analysis results to reach conclusions.

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

Understanding the Meaning of Statistics

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