Question

Do shoppers at the mall spend more money on average the day after Thanksgiving compared to the day after Christmas? The 60 randomly surveyed shoppers on the day after Thanksgiving spent an average of $150. Their standard deviation was $35. The 56 randomly surveyed shoppers on the day after Christmas spent an average of $133. Their standard deviation was $32. What can be concluded at the α = 0.10 level of significance? For this study, we should use t-test for the difference between two independent population means The null and alternative hypotheses would be: H 0 : μ1 = μ2 (please enter a decimal) H 1 : μ1 > μ2 (Please enter a decimal) The test statistic t = 2.733 (please show your answer to 3 decimal places.) The p-value = .0036 (Please show your answer to 4 decimal places.) The p-value is > α Based on this, we should fail to reject the null hypothesis. Thus, the final conclusion is that ... The results are statistically significant at α = 0.10, so there is sufficient evidence to conclude that the mean expenditure for the 60 day after Thanksgiving shoppers that were observed is more than the mean expenditure for the 56 day after Christmas shoppers that were observed. The results are statistically insignificant at α = 0.10, so there is insufficient evidence to conclude that the population mean amount of money that day after Thanksgiving shoppers spend is more than the population mean amount of money that day after Christmas shoppers spend. The results are statistically insignificant at α = 0.10, so there is statistically significant evidence to conclude that the population mean amount of money that day after Thanksgiving shoppers spend is equal to the population mean amount of money that day after Christmas shoppers spend. The results are statistically significant at α = 0.10, so there is sufficient evidence to conclude that the population mean amount of money that day after Thanksgiving shoppers spend is more

Answer 1