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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 a population that is normally distributed. A boxplot indicates there are no outliers. Complete parts (a) through (d) below.




5.05
5.72
4.62
4.80


5.02
4.57
4.74
5.19


4.61
4.76
4.56
5.30




(a) Determine a point estimate for the population mean.
A point estimate for the population mean is 
◻ (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.)
A. There is a 
95% probability that the true mean 
pH of rain water is between 
◻ and 
◻
B. If repeated samples are taken, 
95% of them will have a sample 
pH of rain water between 
◻ and 
◻
C. There is 
95% confidence that the population mean 
pH of rain water is between 
◻ and 
◻

The following data represent the pH \mathrm{pH} of rain for a random sample of 1212 rain dates. A normal probability plot suggests the data could come from a population that is normally distributed. A boxplot indicates there are no outliers. Complete parts (a) through (d) below.\newline\begin{tabular}{llll}\newline55.0505 & 55.7272 & 44.6262 & 44.8080 \\\newline55.0202 & 44.5757 & 44.7474 & 55.1919 \\\newline44.6161 & 44.7676 & 44.5656 & 55.3030\newline\end{tabular}\newline(a) Determine a point estimate for the population mean.\newlineA point estimate for the population mean is \square (Round to two decimal places as needed.)\newline(b) Construct and interpret a 9595\% confidence interval for the mean pH \mathrm{pH} of rainwater. Select the correct choice below and fill in the answer boxes to complete your choice.\newline(Use ascending order. Round to two decimal places as needed.)\newlineA. There is a 95% 95 \% probability that the true mean pH \mathrm{pH} of rain water is between \square and \square \newlineB. If repeated samples are taken, 95% 95 \% of them will have a sample pH \mathrm{pH} of rain water between \square and \square \newlineC. There is 95% 95 \% confidence that the population mean pH \mathrm{pH} of rain water is between \square and \square

Full solution

Q. The following data represent the pH \mathrm{pH} of rain for a random sample of 1212 rain dates. A normal probability plot suggests the data could come from a population that is normally distributed. A boxplot indicates there are no outliers. Complete parts (a) through (d) below.\newline\begin{tabular}{llll}\newline55.0505 & 55.7272 & 44.6262 & 44.8080 \\\newline55.0202 & 44.5757 & 44.7474 & 55.1919 \\\newline44.6161 & 44.7676 & 44.5656 & 55.3030\newline\end{tabular}\newline(a) Determine a point estimate for the population mean.\newlineA point estimate for the population mean is \square (Round to two decimal places as needed.)\newline(b) Construct and interpret a 9595\% confidence interval for the mean pH \mathrm{pH} of rainwater. Select the correct choice below and fill in the answer boxes to complete your choice.\newline(Use ascending order. Round to two decimal places as needed.)\newlineA. There is a 95% 95 \% probability that the true mean pH \mathrm{pH} of rain water is between \square and \square \newlineB. If repeated samples are taken, 95% 95 \% of them will have a sample pH \mathrm{pH} of rain water between \square and \square \newlineC. There is 95% 95 \% confidence that the population mean pH \mathrm{pH} of rain water is between \square and \square
  1. Calculate Mean: Calculate the sample mean for the pH data provided. Add all the pH values and divide by the number of samples 1212.
  2. Round Mean: Round the calculated mean to two decimal places as required.
  3. Calculate Standard Deviation: Calculate the sample standard deviation. First, find the deviations from the mean, square them, sum them, divide by (n1)(n-1), and take the square root.
  4. Find Critical t-Value: Use the t-distribution to find the critical t-value for a 95%95\% confidence interval with 1111 degrees of freedom (n1)(n-1).
  5. Calculate Margin of Error: Calculate the margin of error using the tt-value and the standard deviation.
  6. Construct Confidence Interval: Construct the 95%95\% confidence interval by adding and subtracting the margin of error from the sample mean.

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