Statistics is an important component of public health. Explain the relevance of statistics in the planning, implementation, and evaluation of a health
PUB550 Application and Interpretation of Public Health Data
Week 1 Discussion
DQ1
Statistics is an important component of public health. Explain the relevance of statistics in the planning, implementation, and evaluation of a health promotion intervention. How do you envision using statistics in your current or future career?
DQ2
Describe the difference between quantitative and qualitative methods. Explain how each are used in public health.
PUB550 Application and Interpretation of Public Health Data
Week 2 Discussion
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.
PUB550 Application and Interpretation of Public Health Data
Week 3 Discussion
DQ1
Summarize the six steps of hypothesis testing. Propose a scenario in which hypothesis testing is applied to public health data.
DQ2
Compare descriptive and inferential statistics. Discuss why both descriptive and inferential statistics are used in the analysis of public health data.
PUB550 Application and Interpretation of Public Health Data
Week 4 Discussion
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?
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 using ANOVA.
DQ2
When analyzing public health data, describe the steps you would take to determine what statistical test to conduct. Discuss the impact of data type on test selection.
PUB550 Application and Interpretation of Public Health Data
Week 6 Discussion
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 that uses linear regression in its analysis. Explain why linear regression was used and discuss one challenge in interpreting the results. Include the permalink with your citation.
PUB550 Application and Interpretation of Public Health Data
Week 7 Discussion
DQ1
Describe three methods of qualitative data collection and discuss an example of when each method would be used.
DQ2
Describe the process of coding qualitative data. Identify the distinguishing factors between inductive and deductive coding.
PUB550 Application and Interpretation of Public Health Data
Week 8 Discussion
DQ1
Refer back to your response to Topic 1 DQ 1: “Statistics is an important component of public health. Explain the relevance of statistics in the planning, implementation, and evaluation of a health promotion intervention. How do you envision using statistics in your current or future career?” After completing the course, how has your vision changed regarding the role statistics will have in your current or future career?
DQ2
What is an IRB? What does Christianity say about ethics? Discuss an ethical challenge you might face collecting and analyzing data from human subjects. How you might approach it from a biblical perspective.
