Problem 7.On our final attempt, we divide the neighborhoods into two categories: "mostly white" White50) and "mostly minority" (White < 50). Here is a summary of the data: sd(Schools) Number of Neighborhoods 70 Mean(Schools) Group 725.53 826.06 Mostly Minority Mostly White 34 54.60 68.77 A. Using a two-sample t test, test the claim that there is no difference in school performance between mostly minority and mostly white neighborhoods. Use a significance level of 1%. B. Name one assumption necessary for the two-sample t test that is violated in this analysis. Justify why the assumption does not hold.

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Problem 7.On our final attempt, we divide the neighborhoods into two categories: "mostly white"
White50) and "mostly minority" (White < 50). Here is a summary of the data:
sd(Schools)
Number of
Neighborhoods
70
Mean(Schools)
Group
725.53
826.06
Mostly Minority
Mostly White 34
54.60
68.77
A. Using a two-sample t test, test the claim that there is no difference in school performance
between mostly minority and mostly white neighborhoods. Use a significance level of 1%.
B. Name one assumption necessary for the two-sample t test that is violated in this analysis.
Justify why the assumption does not hold.
Transcribed Image Text:Problem 7.On our final attempt, we divide the neighborhoods into two categories: "mostly white" White50) and "mostly minority" (White < 50). Here is a summary of the data: sd(Schools) Number of Neighborhoods 70 Mean(Schools) Group 725.53 826.06 Mostly Minority Mostly White 34 54.60 68.77 A. Using a two-sample t test, test the claim that there is no difference in school performance between mostly minority and mostly white neighborhoods. Use a significance level of 1%. B. Name one assumption necessary for the two-sample t test that is violated in this analysis. Justify why the assumption does not hold.
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