Executives at Sale Mart Supermarket claim that a typical family of four spends $200 weekly on routine, non-holiday, grocery purchases.According to published industry standards, the population standard deviation is $25.

Stanley, another stats intern at corporate headquarters, wonders if that original claim by the executives is too high.As a project, she collects from store sales receipts a simple random sample (SRS) of size 100.The sample mean for the weekly grocery purchases for a family of four is $197.He is defining as rare, or unusually low, any sample mean that is in the bottom 10% of all possible sample means; hence, he is testing at the10%level of significance.What conclusion should Stanleydraw, based on the available evidence?

FALSEorTRUE: The basic problem frame remains the same from the previous analysis, with a hypothesized mean value of $200 for non-holiday shopping by a family of four, and a known population standard deviation of $25.

1. True
2. False

Stanley, another stats intern at corporate headquarters, wonders if that original claim by the executives is too high.As a project, she collects from store sales receipts a simple random sample (SRS) of size 100.The sample mean for the weekly grocery purchases for a family of four is $197.He is defining as rare, or unusually low, any sample mean that is in the bottom 10% of all possible sample means; hence, he is testing at the10%level of significance.What conclusion should Stanleydraw, based on the available evidence?

FALSEorTRUE:This is an example of a one-tail right-tailhypothesis test.

True

False

Stanley, another stats intern at corporate headquarters, wonders if that original claim by the executives is too high.As a project, she collects from store sales receipts a simple random sample (SRS) of size 100.The sample mean for the weekly grocery purchases for a family of four is $197.He is defining as rare, or unusually low, any sample mean that is in the bottom 10% of all possible sample means; hence, he is testing at the10%level of significance.What conclusion should Stanleydraw, based on the available evidence?

FALSEorTRUE: This is, instead, an example of a one-tail left-tail hypothesis test.

True

False

Stanley, another stats intern at corporate headquarters, wonders if that original claim by the executives is too high.As a project, she collects from store sales receipts a simple random sample (SRS) of size 100.The sample mean for the weekly grocery purchases for a family of four is $197.He is defining as rare, or unusually low, any sample mean that is in the bottom 10% of all possible sample means; hence, he is testing at the10%level of significance.What conclusion should Stanleydraw, based on the available evidence?

FALSEorTRUE: As this statistical analysis progresses, the null hypothesis would be rejected if the test statistic to be calculated in this left-tail test case falls below or left of the critical value or cutoff score; additional rejection rules include if thep-value is smaller than the level of significance, alpha, and if the hypothesized value falls outside the corresponding confidence interval.

True

False

Stanley, another stats intern at corporate headquarters, wonders if that original claim by the executives is too high.As a project, she collects from store sales receipts a simple random sample (SRS) of size 100.The sample mean for the weekly grocery purchases for a family of four is $197.He is defining as rare, or unusually low, any sample mean that is in the bottom 10% of all possible sample means; hence, he is testing at the10%level of significance.What conclusion should Stanleydraw, based on the available evidence?

Stating the hypotheses as

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