To prepare for this Assignment: Review this week’s Learning Resources and media program      related to one-way ANOVA testing. Using the SPSS software, open the Afrobarometer dataset      or the High School Longitudinal Study dataset (whichever you choose) found      in the Learning Resources for this week. Based on the dataset you chose, construct a research      question that can be answered with a one-way ANOVA. Once you perform your one-way ANOVA analysis, review      Chapter 11 of the Wagner text to understand how to copy and paste your      output into your Word document. For this Assignment: Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. Do not forget to evaluate if the assumptions of the test are met. Include any post-hoc tests with an analysis of the strength of any relationship found (effect size). Also, in your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output.                                                                       Learning Resources                                                                        Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 11, “Analysis of Variance” (pp. 373-399) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 10, “Analysis of Variance” Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. and 6) Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210 For help with this week’s research, see this Course Guide and related weekly assignment resources. Document: Walden University: Research Design Alignment Table Required Media Laureate Education (Producer). (2016h). One-way ANOVA demonstration [Video file]. Baltimore, MD: Author.  Note: The approximate length of this media piece is 9 minutes. In this media program, Dr. Matt Jones demonstrates one-way ANOVA using the SPSS software. Accessible player  --Downloads-- Download Video w/CC Download Audio Download Transcript  Optional Resources Klingenberg, B. (2016). ANOVA: Analysis of variance. Retrieved from https://istats.shinyapps.io/ANOVA/ Use the following app/weblink to enter your own data and obtain an interactive visual display.

Option 2: A professor states that in the United States the proportion of college students who own iPhones is .66. She then splits the class into two groups: Group 1 with students whose last name begins with A-K and Group 2 with students whose last name begins with L-Z. She then asks each group to count how many in that group own iPhones and to calculate the group proportion of iPhone ownership. For Group 1 the proportion is p1 and for Group 2 the proportion is p2. To calculate the proportion you take the number of iPhone owners and divide by the total number of students in the group. You will get a number between 0 and 1. What would you expect p1 and p2 to be? Do you expect either of these proportions to be vastly different from the population proportion of .66? Would you be surprised if p1 was different than p2? Would you be surprised if they were the same or similar? What statistical concept describes the relationship between the first letter of someone's last name and whether or not they own an iPhone? STUDENT 1: Respond to this students discussion post in response to Option 2 (above) I would expect that the percentage of iPhone users in both P1 and P2 to be similar. I think this might also depend on weather or not the college students are from the same area, or the same college. Overall, I'd expect them to be about the same even though P2 has more people in the sample. I would expect the proportion to be a little bit higher than the population proportion. I say this because I think college students tend to invest in technology a little bit more than the average person. They use computers and phones constantly, so they may be more inclined to go for the Apple products due to popularity. I would be pretty surprised if P1 was vastly different than P2. I wouldn't see why a random sample like this would yield two different results. This sample seems very random, so I would think it would yield similar results. I would not be surprised if they were similar at all. The concept in this problem is Probability, in this case .66 or 66%.