Do shoppers at the mall spend more money on average the day after Thanksgiving compared to the day after Christmas? The 53 randomly surveyed shoppers on the day after Thanksgiving spent an average of $140. Their standard deviation was $34. The 58 randomly surveyed shoppers on the day after Christmas spent an average of $121. Their standard deviation was $43. 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: p1 Select an answer v u2 H: u1 Select an answer v u2 b. The test statistic t v = (please your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.) d. The p-value is sv a e. Based on this, we should Select an answer v the null hypothesis. f. Thus, the final conclusion is that ... O 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. O The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that the mean expenditure for the 53 day after Thanksgiving shoppers that were observed is more than the mean expenditure for the 58 day after Christmas shoppers that were observed. 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. O 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. 瓦 。
Do shoppers at the mall spend more money on average the day after Thanksgiving compared to the day after Christmas? The 53 randomly surveyed shoppers on the day after Thanksgiving spent an average of $140. Their standard deviation was $34. The 58 randomly surveyed shoppers on the day after Christmas spent an average of $121. Their standard deviation was $43. 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: p1 Select an answer v u2 H: u1 Select an answer v u2 b. The test statistic t v = (please your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.) d. The p-value is sv a e. Based on this, we should Select an answer v the null hypothesis. f. Thus, the final conclusion is that ... O 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. O The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that the mean expenditure for the 53 day after Thanksgiving shoppers that were observed is more than the mean expenditure for the 58 day after Christmas shoppers that were observed. 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. O 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. 瓦 。
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:Do shoppers at the mall spend more money on average the day after Thanksgiving compared to the day
after Christmas? The 53 randomly surveyed shoppers on the day after Thanksgiving spent an average of
$140. Their standard deviation was $34. The 58 randomly surveyed shoppers on the day after Christmas
spent an average of $121. Their standard deviation was $43. 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: p1
Select an answer v
u2
H: p1
Select an answer v
u2
b. The test statistic t v =
(please
your answer to 3 decimal places.)
c. The p-value =
(Please show your answer to 4 decimal places.)
d. The p-value is sv a
e. Based on this, we should Select an answer v the null hypothesis.
f. Thus, the final conclusion is that ...
O 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.
O The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude
that the mean expenditure for the 53 day after Thanksgiving shoppers that were observed is
more than the mean expenditure for the 58 day after Christmas shoppers that were observed.
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.
O 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.
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