In: Statistics and Probability
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. 5.30 5.72 4.99 4.80 5.02 4.57 4.74 5.19 5.29 4.76 4.56 4.91 (a) Determine a point estimate for the population mean. A point estimate for the population mean is nothing. (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. If repeated samples are taken, 95% of them will have a sample pH of rain water between nothing and nothing. B. There is a 95% probability that the true mean pH of rain water is between nothing and nothing. C. There is 95% confidence that the population mean pH of rain water is between nothing and nothing. (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.) A. There is a 99% probability that the true mean pH of rain water is between nothing and nothing. B. There is 99% confidence that the population mean pH of rain water is between nothing and nothing. C. If repeated samples are taken, 99% of them will have a sample pH of rain water between nothing and nothing. (d) What happens to the interval as the level of confidence is changed? Explain why this is a logical result. As the level of confidence increases, the width of the interval ▼ increases. decreases. This makes sense since ▼ including more numbers for consideration makes it more likely one of them is correct. all confidence intervals of a given level of confidence have the same width. including fewer numbers for consideration makes it more likely one of them is correct. Click to select your answer(s).
The data is provided as follows:
Data |
5.3 |
5.72 |
4.99 |
4.8 |
5.02 |
4.57 |
4.74 |
5.19 |
5.29 |
4.76 |
4.56 |
4.91 |
(a)
The sample size is n=12. The provided sample data along with the data required to compute the sample mean shown in the table below:
X | X2 | |
5.3 | 28.09 | |
5.72 | 32.7184 | |
4.99 | 24.9001 | |
4.8 | 23.04 | |
5.02 | 25.2004 | |
4.57 | 20.8849 | |
4.74 | 22.4676 | |
5.19 | 26.9361 | |
5.29 | 27.9841 | |
4.76 | 22.6576 | |
4.56 | 20.7936 | |
4.91 | 24.1081 | |
Sum = | 59.85 | 299.781 |
The sample mean is computed as follows:
This is also the point estimate of the population mean.
Also
(b)
We need to construct the 95% confidence interval for the population mean μ. The following information is provided:
Sample Mean = | 4.9875 |
Sample Standard Deviation (s) = | 0.340991202 |
Sample Size (n) = | 12 |
The critical value for α=0.05 and df=n−1=11 degrees of freedom is . The corresponding confidence interval is computed as shown below:
Therefore, based on the data provided, the 95% confidence interval for the population mean is 4.77<μ<5.20
C. There is 95% confidence that the population mean pH of rain water is between 4.77 and 5.20
(c)
The critical value for α=0.01 and df=n−1=11 degrees of freedom is . The corresponding confidence interval is computed as shown below:
Therefore, based on the data provided, the 99% confidence interval for the population mean is 4.68<μ<5.29
B. There is 99% confidence that the population mean pH of rain water is between 4.68 and 5.29
(d)
As the level of confidence increases, the width of the interval increases. This makes sense since including more numbers for consideration makes it more likely one of them is correct.
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