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5) 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

5) 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.

Stella, a stats intern at the chain's corporate headquarters, wonders if that original claim by the executives seems too low. As a project, she collects from store sales receipts a simple random sample (SRS) of size 64. The sample mean for the weekly grocery purchases for a family of four is $205. She is defining as rare, or unusually high, any sample mean that is in the top 5% of all possible sample means; hence, she is testing at the5%level of significance. What conclusion should Stella draw, based on the available evidence?

What is the value of the test statistic, expressed without insignificant digits?

6.) 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.

Stella, a stats intern at the chain's corporate headquarters, wonders if that original claim by the executives seems too low. As a project, she collects from store sales receipts a simple random sample (SRS) of size 64. The sample mean for the weekly grocery purchases for a family of four is $205. She is defining as rare, or unusually high, any sample mean that is in the top 5% of all possible sample means; hence, she is testing at the5%level of significance. What conclusion should Stella draw, based on the available evidence?

What are the hypotheses?

image text in transcribedimage text in transcribed
\fThe test statistic is less than or does not exceed the critical value. The test statistic is greater than or exceeds the critical value. The test statistic is equal to the critical value. It cannot be determined at this time if the test statistic is less than, greater than or equal to the critical value

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