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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?
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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.
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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.…
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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.
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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…
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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…
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GCU PUB550 Week 6 Discussion (dq1+dq2) Latest 2023 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…
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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…
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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.
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GCU PUB550 Week 3 Discussion (dq1+dq2) Latest 2023 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…