Define correlation and causation. How are these different?
Applying inferential statistics to research findings allows leaders to leverage secondary research and make generalizations that can be applied to a problem or decision that a leader is grappling with. The ability to gain research insights and apply findings to the leader’s problem or opportunity contributes to more effective and accurate decision- making with potential for reduced risk.
Read the following to prepare for course assignments
Essentials of Business Research: A Guide To Doing Your Research Project
Chapter 9 – Analyzing Quantitative Data
Correlation and Causality (opens in new window)
Pearson's Chi-Square Test (opens in new window)
T-Tests Explained: What They Mean for Survey Analysis (opens in new window)
1. Define correlation and causation. How are these different?
2. Why is it important to be able to distinguish between them as a business leader conducting research?
3. T-Tests are used to compare the means from two different groups. Research and identify a scholarly study related to your subject of interest that performs a t-test as part of the research.
4. Summarize the results of the t-test performed.
5. What does it reveal about the study?