PLEASE, HELP WITH THIS ASSIGNMENT, PROVIDING RESPONSE TO EVERY PART WITH CLARITYANDORIGINALITY.THANKS A LOT.

In your work, assume the 5% significance level.

Use the following dataWickedWitch.csv(see attached excel doc) to answer the below questions.

Take a screenshot of your output and based on that, answer the following questions.

a) Import the data into JASP and provide an explanation on the descriptive statistics for the variable Complaint split across regions.

1. Which of the regions has the highest average number of complaints,indicate the average?

2. Which of the regions has the largest standard deviation of complaints, indicate the standard deviation?

3. Based on the descriptive output from JASP, can we expect the average number of complaints across the four regions to be different? Why?

b) Write a hypotheses for evaluating whether the average number of complaints caused varies across the four regions.

c) Run the ANOVA analysis in JASP (withComplaintsas the dependent variables andRegionas the Fixed Factors). Provide a capture of the output and answer the following questions:

1) What is the F-statistics and the p-value?

2) What is the conclusion for the hypotheses of question (b)?

Please, I would like the response to these questions to be sent back to me in a word document, thanks.

\f# Re- importing the file to continue analysis file_path = '/mnt/data/ file-4NPgs6XRFPN98SZ44h7jEJ' data latest = pd . read_excel (file_path, engine="openpyx1") # Display the first few rows to confirm loading data_latest . head( )a) Descriptive Statistics 1. Which region has the highest average number of complaints? What is the average? o Region 4 has the highest average number of complaints. The average is 4.2. 2. Which region has the largest standard deviation of complaints? What is the standard deviation? o Region 2 has the largest standard deviation of complaints. The standard deviation is approximately 1.26. 3. Can we expect the average number of complaints across the four regions to be different? Why? o Based on the descriptive statistics, the average number of complaints shows clear variations across the regions. For example, Region 4 has a much higher mean than Region 1, suggesting that the averages likely differ significantly. However, statistical testing (such as ANOVA) is needed to confirm this. b) Hypotheses Null Hypothesis (H,): The average number of complaints is the same across the four regions. Alternative Hypothesis (H,): The average number of complaints differs across at least one of the regions. c) ANOVA Analysis 1. What are the F-statistics and p-value? o F-statistic: 10.10 o p-value: 0.00068 2. Conclusion for the hypotheses in 2. Conclusion for the hypotheses in question (b): o Since the p-value is much smaller than 0.05, we reject the null hypothesis. This means that the average number of complaints is significantly different across the regions. a) Descriptive Statistics 1. Which of the regions has the highest average number of complaints? Indicate the average. * Region 4 has the highest average number of complaints. The average is 4.2. 2. Which of the regions has the largest standard deviation of complaints? Indicate the standard deviation. * Region 2 has the largest standard deviation of complaints. The standard deviation is approximately 1.26. 3. Based on the descriptive output from JASP, can we expect the average number of complaints across the four regions to be different? Why? * Yes, we can expect the averages to be different. The descriptive statistics show noticeable variations in the average complaints between regions. For instance, Region 4's average (4.2) is significantly higher compared to Region 1's average (1.0). This suggests a likely difference in averages across the regions. However, statistical testing (ANOVA) is necessary to confirm this. b) Hypotheses Null Hypothesis (H,): The average number of complaints is the same across the four regions. e Alternative Hypothesis (H,): The average number of complaints differs across at least one of the regions. c) ANOVA Analysis 1. What is the F-statistics and the p-value? e F-statistic: 10.10 p-value: 0.00068 2. What is the conclusion for the hypotheses of question (b)? Since the p-value is much smaller than 0.05 (a common significance level), we reject the null hypothesis. # Create a Word document doc = Document() # Title doc.add_heading("Analysis of Complaints Across Regions", level=1) # Question a: Descriptive Statistics doc.add_heading("a) Descriptive Statistics", level=2) doc.add_paragraph("1. Which of the regions has the highest average number of complaints? Indicate the average.") doc.add_paragraph(" - Region 4 has the highest average number of complaints. The average is 4.2.") doc.add_paragraph("2. Which of the regions has the largest standard deviation of complaints? Indicate the standard deviation.") doc.add_paragraph(" - Region 2 has the largest standard deviation of complaints. The standard deviation is approximately 1.26.") doc.add_paragraph("3. Based on the descriptive output from JASP, can we expect the average number of complaints across the four regions to be different? Why?") doc.add_paragraph(" - Yes, the descriptive statistics suggest noticeable variations in the average complaints between regions. " "For example, Region 4's average (4.2) is significantly higher compared to Region 1's average (1.0). " "This suggests a likely difference in averages across the regions, but statistical testing is needed to EEmILAn s, ) # Question b: Hypotheses doc.add_heading("b) Hypotheses", level=2) doc.add_paragraph("Null Hypothesis (H,): The average number of complaints is the same across the four regions.") doc.add_paragraph("Alternative Hypothesis (H,): The average number of complaints differs across at least one of the regions.") # Question c: ANOVA Analysis doc.add_heading("c) ANOVA Analysis", level=2) doc.add_paragraph("1. What is the F-statistics and the p-value?") doc.add_paragraph(" - E=statisitilc 010 doc.add_paragraph(" - p-value: 0.00068") doc.add_paragraph("2. What is the conclusion for the hypotheses of # Save the document output_path = "/mnt/data/ Complaints_Analysis_Updated.docx" doc.save(output_path) output_path a) Descriptive Statistics 1. Which of the regions has the highest average number of complaints? Indicate the average. o Region 4 has the highest average number of complaints. The average is 4.2. 2. Which of the regions has the largest standard deviation of complaints? Indicate the standard deviation. o Region 2 has the largest standard deviation of complaints. The standard deviation is approximately 1.26. 3. Based on the descriptive output from JASP, can we expect the average number of complaints across the four regions to be different? Why? o Yes, based on the descriptive statistics, the average complaints vary noticeably across regions. For example: Region 1: Mean = 1.0 > Region 4: Mean = 4.2 o This suggests that the averages are likely different. However, statistical testing (ANOVA) is needed to confirm this. b) Hypotheses 1. Null Hypothesis (H,): o The average number of complaints is the same across the four regions. 2. Alternative Hypothesis (H,): o The average number of complaints differs across at least one of the regions. c) ANOVA Analysis 1. What are the F-statistics and the p-value? o F-statistic: 10.10 o p-value: 0.00068 2. What is the conclusion for the hypotheses of question (b)? o Since the p-value (0.00068) is less than the significance level of 0.05, we reject the null hypothesis