EVALUATING SIGNIFICANCE OF FINDINGS

For this Assignment, you will examine statistical significance and meaningfulness based on sample statements.
Critically evaluate the two scenarios out of the four attached that you selected based upon the following points:
1. Critically evaluate the sample size.
2. Critically evaluate the statements for meaningfulness.
3. Critically evaluate the statements for statistical significance.
4. Based on your evaluation, provide an explanation of the implications for social change.
Use proper APA format and citations and references
References:
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 8, “Testing Hypothesis: Assumptions of Statistical Hypothesis Testing” (pp. 241-242)

Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulation”

Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications.
Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 3, “Statistical Significance Testing” (pp. 81–124)

STATISTICAL SIGNIFICANCE AND MEANINGFULNESS

As a scholar-practitioner, it is important for you to understand that just because a hypothesis test indicates a relationship exists between an intervention and an outcome, there is a difference between groups, or there is a correlation between two constructs, it does not always provide a default measure for its importance. Although relationships are significant, they can be very minute relationships, very small differences, or very weak correlations. In the end, we need to ask whether the relationships or differences observed are large enough that we should make some practical change in policy or practice.
For this Discussion, you will explore statistical significance and meaningfulness.
To prepare for this Discussion:
Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.
Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.
Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.
Consider the scenario:
“A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”
QUESTION
Write your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote?
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
RESOURCES:
• American Statistical Association (2016). American Statistical Association Releases Statement on Statistical Significance and P-Values Links to an external site.. Retrieved from https://www.amstat.org/asa/files/pdfs/p-valuestatement.pdf
As you review this press release, consider the misconceptions and the misuse of -values in quantitative research.
• Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
o Chapter 8, “Testing Hypothesis: Assumptions of Statistical Hypothesis Testing” (pp. 241-242)

• Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
o Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulation”

Problem solving

Download the Word document below and follow the instruction carefully to complete the assignment. Use this document to type in your answers and show the work/process/rationale supporting the answers.
Download the Excel document below, which contains the data set for this assignment. Because you will create some graphs in this file, it must be submitted as a supporting document. You may also show your work/process in this file to support your answers in the Word document.

robert.miller3189@gmail.com

Independent Research Project – In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment. In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment.
In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and Excel as needed to analyze real-world data. Note: You are required to do a ANOVA Analysis or a Regression Analysis and submit them showing Pr or P values, R-square, B values, Plots, etc. – as needed for the type of analysis you are conducting (ANOVA or Regression). Homogeneity of Variance of residuals can be assumed so you can proceed with your required analysis.

Statistics

Demonstrate
Steps to Complete Week 5 Lab
Use the Weeks 3 and 5 spreadsheets from the Weeks 3 and 5 Lessons to help you answer the questions below.
Step 1: Your instructor will provide you with 10 values to use for this lab.
Gather 10 MORE of your own to add to the 10 provided by your instructor. Do the following:
Survey or measure 10 people to find their heights. Determine the mean and standard deviation for the 20 values by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the 20 values? Is your height taller, shorter, or the same as the mean of the sample?
Note: The following image is just an example. They are NOT the values you should be using for your lab. Your instructor should have sent you our data values for your Week 5 Lab. Please reach out to your instructor if you do not have your data values.
Data Example of 10 people with different heights
Data Example of 10 people with different heights
(your spreadsheet will have 20 values—10 from your instructor and 10 from your own data gathering).
Step 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.
How did you choose the participants for your study? What was the sampling method: systematic, convenience, cluster, stratified, simple random?
What part of the country did your study take place in?
What are the age ranges of your participants?
How many of each gender did you have in your study?
What are other interesting factors about your group?
Step 3: Use the Week 5 Excel spreadsheet for the following.
(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the 20 heights in your height study.
What do these values tell you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
Week 5 Spreadsheet Example
(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?
Post a screen shot of your work from the Week 5 Excel spreadsheet.
Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.
Week 5 Spreadsheet Example
Step 4: Be sure your name is on the Word document, save it, and then submit it under “Assignments” and “Week 5: Lab”.
*Word document is attached that needs to be filled put for the lab.

Research proposal – Environmental issues or health issues

Hi, Please write a research proposal on any topic related to environmental issues.
**In this proposal, please use methodology 1. Quasi-experimental methods: Difference-differences. OR. 2. Quasi-experimental methods: Regression discontinuity design.
You should include 1. TITLE. 2. BACKGROUND AND RATIONALE. 3. RESEARCH QUESTION(S). 4. RESEARCH METHODOLOGY 5. Hypothesis