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For the full HomeSalesComparison data set, do the following (to two decimal places): 95% Confidence Interval for Size- 99% Confidence Interval for Size maintain/reject the null hypothesis that mean Size is 1800 sq. ft. at the 01 level #1.A to to because #1.B For the Shadyside component of the data set, do the following (to two decimal places): 95% Confidence Interval for Size maintain/reject the null hypothesis that mean Size 1800 sq. ft. at the.05 level to because For the Condo component of the data set, do the following (to two decimal places): 95% Confidence Interval for Size #1C to maintain/reject the null hypothesis that mean Size 1800 sq. ft. at the 05 level because #2: A small study of customers at a major retail store produced the following results: COUNT AM shopper PM shopper Large Purchase Small Purchase No Purchase 128 40 40 40 64 #2A Generate the probabilitytableto two decimal places), ROBABLITY Large Purchase Small Purchase No Purchase Total AM shopper PM shopper Total #2.B P(No Purchase/PM shopper)- (to four decimal places) No Purchase and time of day are/are not independent because
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Answer #1

The data for first question is missing, however I have solved the second one.

You will need to use the marginal probabilities to test the independence.C92 any euent is- 1100 So, we get the拟10Uung tulle:- usase Totul :51 mal To ta人 10.SH | o.2 | 0.26 O16 O 48 3 No puchase and time deycetelnotindefendent betauwe p

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