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Question 2 (42 marks) In 2017, a group of behavioural scientists at National Environment Agency (NEA) wanted to find out if giving out free tissue
Question 2 (42 marks) In 2017, a group of behavioural scientists at National Environment Agency (NEA) wanted to find out if giving out free tissue packets (with a reminder to return the tray to the tray area) would improve tray return rates in hawker centres. They randomly selected 10 hawker centres for a 3-week field study. In the first week (pre-intervention phase), they observed the 10 hawker centres' customers to establish a baseline tray return rate. In the second week (intervention phase), they recruited volunteers to give out the free tissue packets and recorded the tray return rate during the week. In the final week (post-intervention phase), they stopped giving out the free tissue packets and recorded the tray return rate for each hawker centre. The average tray return rates (%) in the 10 hawker centres for each phase are presented below. Tray Return Rate (%) Hawker Pre-Intervention Intervention Post-Intervention Centres 40 61 37 38 64 34 24 58 21 61 72 60 60 75 59 35 66 32 20 58 27 50 62 46 74 55 30 70 29 Note. This study is modelled after an actual one conducted in 2017. The data are hypothetical but reflect the findings of that study. Based on the study design, identify the most appropriate statistical test to conduct. Explain why this is the most appropriate statistical test by providing two reasons in the context of this study. Then, assuming all the assumptions of the statistical test you identified are met and there are no concerns about small sample size, analyse the data using jamovi. Show the jamovi spreadsheet by taking a screenshot of the spreadsheet (i.e., what you see when you click the DATA tab) and pasting it in your answer. The jamovi spreadsheet should be correctly formatted. Further, paste all the output necessary for interpretation of the results in your answer. Interpret fully the results of your data analysis. Explain your answer with reference to the p values and the alpha level, using an alpha level of 05. Discuss how NEA can use the findings to inform its policy
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