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 $121. Their standard deviation was $27. The 46 randomly surveyed shoppers on the day after Christmas spent an average of $113. Their standard deviation was $25. What can be concluded at the a = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer ✓ H₁: Select an answer ✓ Select an answer ✓ Select an answer ✓ b. The test statistic ? ✓ = Select an answer ✓ c. The p-value = d. The p-value is ? ✓ a e. Based on this, we should f. Thus, the final conclusion is that ... Select an answer ✓ (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) Select an answer the null hypothesis. O The results are statistically insignificant at a = 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 a = 0.10, so there is sufficient 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. O The results are statistically significant at a = 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 46 day after Christmas shoppers that were observed. The results are statistically insignificant at a = 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.

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 $121. Their standard deviation was $27. The 46 randomly surveyed shoppers on the day after Christmas spent an average of $113. Their standard deviation was $25. What can be concluded at the a = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer ✓ H₁: Select an answer ✓ Select an answer ✓ Select an answer ✓ b. The test statistic ? ✓ = Select an answer ✓ c. The p-value = d. The p-value is ? ✓ a e. Based on this, we should f. Thus, the final conclusion is that ... Select an answer ✓ (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) Select an answer the null hypothesis. O The results are statistically insignificant at a = 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 a = 0.10, so there is sufficient 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. O The results are statistically significant at a = 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 46 day after Christmas shoppers that were observed. The results are statistically insignificant at a = 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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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