DQ1 Correlation is a common statistic to measure a general linear relationship between two variables. Explain why correlation does not equal causation.   DQ2 Explain the differences between parametric and nonparametric tests. How do you determine if a parametric or nonparametric test should be used when analyzing data?

DQ1 Given the limited number of statistical calculations required by some public health positions, explain why it is important for you to know how to utilize appropriate software to analyze public health data. Support your ideas with reasons, facts, and examples.   DQ2   Discuss three strengths of the linear regression. Identify a peer-reviewed study…

DQ1 Compare the various types of ANOVA by discussing when each is most appropriate for use. Include specific examples to illustrate the appropriate use of each test and how interaction is assessed using ANOVA.   DQ2   When analyzing public health data, describe the steps you would take to determine what statistical test to conduct.…

DQ1 List three methods for collecting public health data. For each, provide a brief description and discuss the advantages and disadvantages of the approach. DQ2 The mean, median, and mode are measures of central tendency. Explain why these measures are crucial to public health data analysis.

GCU PUB550 Week 5 Discussion (dq1+dq2) Latest 2023   PUB550 Application and Interpretation of Public Health Data   Week 5 Discussion   DQ1   Compare the various types of ANOVA by discussing when each is most appropriate for use. Include specific examples to illustrate the appropriate use of each test and how interaction is assessed…