Do shoppers at the mall spend more money on average the day after Thanksgiving compared to the day after Christmas? The 47 randomly surveyed shoppers on the day after Thanksgiving spent an average of $127. Their standard deviation was $37. The 56 randomly surveyed shoppers on the day after Christmas spent an average of $112. Their standard deviation was $49. What can be concluded at the α = 0.01 level of significance?/

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Do shoppers at the mall spend more money on average the day after Thanksgiving compared to the day after Christmas? The 47 randomly surveyed shoppers on the day after Thanksgiving spent an average of $127. Their standard deviation was $37. The 56 randomly surveyed shoppers on the day after Christmas spent an average of $112. Their standard deviation was $49. What can be concluded at the α = 0.01 level of significance?/
Thus, the final conclusion is that …..
The results are statistically significant at a = 0.01, so there is sufficient evidence to conclude
that the mean expenditure for the 47 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 a = 0.01, 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 a = 0.01, 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 = 0.01, 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.
Transcribed Image Text:Thus, the final conclusion is that ….. The results are statistically significant at a = 0.01, so there is sufficient evidence to conclude that the mean expenditure for the 47 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 a = 0.01, 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 a = 0.01, 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 = 0.01, 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.
For this study, we should use Select an answer
The null and alternative hypotheses would be:
Ho: Select an answer
H₁
Select an answer
Select an answer
Select an answer
The test statistic ? C =
Select an answer
Select an answer
(please show your answer to 3 decimal places.)
The p-value=
The p-value is ? a
Based on this, we should Select an answer the null hypothesis.
î
(Please show your answer to 4 decimal places.)
Transcribed Image Text:For this study, we should use Select an answer The null and alternative hypotheses would be: Ho: Select an answer H₁ Select an answer Select an answer Select an answer The test statistic ? C = Select an answer Select an answer (please show your answer to 3 decimal places.) The p-value= The p-value is ? a Based on this, we should Select an answer the null hypothesis. î (Please show your answer to 4 decimal places.)
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