17. After examining over one million online restaurant reviews and the associated weather conditions, Bakhshi, Kanuparthy, and Gilbert (2014) reported significantly higher ratings during moderate weather compared to very hot or very cold conditions. To verify this result, a researcher collected a sample of n restaurants during an unusually hot period during July and August and obtained an average rating of M = 7.29. The complete set of reviews during the previous year av- eraged u = 7.52 with a standard deviation of o = a. Can the researcher conclude that reviews during hot weather are significantly lower than the general popu- lation average?Use a one-tailed test with a = .05. b. Compute Cohen's d to measure effect size for this study. 25 reviews of local 0.60.
After examining over one million online restaurant reviews and the associated weather conditions, Bakhshi, Kanuparthy, and Gilbert (2014) reported significantly higher ratings during moderate weather compared to very hot or very cold conditions. To verify this result, a researcher collected a sample of n=25 reviews of local restaurants over an unusually hot period during July and August and obtained an average rating of M=7.29. The complete set of reviews during the previous year averaged u=7.52 with a standard deviation of s=0.60.
a. Can the researcher conclude that reviews during hot weather are significantly lower than the general population average? Use a one-tailed test with a=.05.
b. Compute Cohen’s d to measure effect size for this study.
c. Write a sentence demonstrating how the outcome of the hypothesis test and the measure of effect size would appear in a research report
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