question c The following data represent the pH of rain for a random sample of 12 rain dates. A normal probability plot suggests the data could come from apopulation that is normally distributed. A boxplot indicates there are no outliers. Complete parts a) through d) below.5.305.724.584.894.805.024.745.195.434.764.565.70Click the icon to view the table of critical t-values.(a) Determine a point estimate for the population mean.A point estimate for the population mean is 5.06(Round to two decimal places as needed.)(b) Construct and interpret a 95% confidence interval for the mean pH of rainwater. Select the correct choice below and fill in the answer boxes to complete your choice.(Use ascending order. Round to two decimal places as needed.)O A. If repeated samples are taken, 95% of them will have a sample pH of rain water between and.O B. There is a 95% probability that the true mean pH of rain water is betweenandC C. There is 95% confidence that the population mean pH of rain water is between 4.80 and 5.32(c) Construct and interpret a 99% confidence interval for the mean pH of rainwater. Select the correct choice below and fill in the answer boxes to complete your choice.(Use ascending order. Round to two decimal places as needed.)O A. If repeated samples are taken, 99% of them will have a sample pH of rain water between andO B. There is 99% confidence that the population mean pH of rain water is between andO C. There is a 99% probability that the true mean pH of rain water is between and(?Click to select and enter your answer(s) and then click Check Answer.Check AnswerClear All1 remainingMacBook AirF11112888F7FBF6F5F4escF3F2*&%232$delete@785123YQWEtabHJKSDaps lockAl

Name: question c The following data represent the pH of rain for a random sa
Uploaded: 2024-03-20T07:07:37.000Z
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Description: question c The following data represent the pH of rain for a random sample of 12 rain dates. A normal probability plot suggests the data could come from apopulation that is normally distributed. A boxplot indicates there are no outliers. Complete par