14) 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 sam2ple means; hence, he is testing at the 10% level of significance. What conclusion should Stanley draw, based on the available evidence?

What is the p-value,expressed as a percentagerounded to two decimal places without insignificant digits?

15) 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 the 10% level of significance. What conclusion should Stanley draw, based on the available evidence?

How does the left-tailed p-value compare against the level of significance, alpha, under the standard normal graph?

The p-value is less than or does not exceed the level of significance, (0!). The p-value is greater than or exceeds the level of significance, (0!). The p-value is equal to the level of significance, (or). / \\ It cannot be determined at this time if the p-value is less than, greater than or equal to the level of significance, (or) K Reject the null hypothesis based on the available evidence (sample size of 100) and testing at the 10% level of significance. 7' Marginally reject the null hypothesis based on the available evidence {sample size of 100) and testing at the 10% level of significance. K Highly reject the null hypothesis based on the available evidence {sample size of 100) and testing at the 10% level of significance. \\ Fail to reject the null hypothesis based on the available evidence {sample size of 100) and testing at the 10% level of significance. a Marginally fail to reject the null hypothesis based on the available evidence (sample size of 100) and testing at the 10% level of significance. K Highly fail to reject the null hypothesis based on the available evidence (sample size of 100) and testing at the 10% level of significance