Application And Interpretation Of Public Health Data Week 9
I need the following questions answered in 150 words each. Please answer questions as asked with no omissions and please attach references with each question.
MODULE 1
Q1
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?
Q2
Describe the difference between quantitative and qualitative methods. Explain how each is used in public health.
RESOURCES
Read Chapter 1 in Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences.
View “The Human Insights Missing From Big Data,” by Wang (2016), located on the TED website.
URL: https://www.ted.com/talks/tricia_wang_the_human_insights_missing_from_big_data
View the following terms in The Visual Learner: Statistics media.
- Statistics
- Data
- Continuous Data
- Discrete Data
- Interval Level
- Ordinal Data
- Nominal Data
- Population
- Sample
- Parameter
- Statistic
MODULE 2
Q1
Frequency distributions can be graphed with bar charts, histograms or polygons. Choose one variable from the “Health Behavior Data Set” and discuss which type of graph is appropriate and why. Refer to section 2.3 in the Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences textbook as needed for assistance.
Q2
The mean, median, and mode are measures of central tendency. Explain why these measures are crucial to public health data analysis.
Read “Statistical Methods Used in the Public Health Literature and Implications for Training of Public Health Professionals,” by Hayat, Powell, Johnson, and Caldwell, from PLoS One (2017). URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462407/
View the following tutorials from the SPSS Tutorials media.
- Frequency Tables and Histograms
- Descriptive Statistics
View the following terms in The Visual Learner: Statistics media.
- Confounding
- Histogram
View the following calculations in The Visual Learner: Statistics media.
- Frequency Distribution
- Measure of Center “Mean”
- Measure of Center “Median”
- Measure of Center “Mode”
- Range and Standard Deviation
- Variance
MODULE 3
Q1
Summarize the six steps of hypothesis testing. Propose a scenario in which hypothesis testing is applied to public health data.
Q2
Compare and contrast descriptive and inferential statistics. Discuss why both descriptive and inferential statistics are used in the analysis of public health data.
MODULE 4
Q1
Correlation is a common statistic to measure a general linear relationship between two variables. Explain why correlation does not equal causation.
Q2
Explain the differences between parametric and nonparametric tests. How do you determine if a parametric or nonparametric test should be used when analyzing data?
