Final answer:
To compute a point estimate for the population mean and population standard deviation, sum all the measurements and divide by the number of measurements. To construct confidence intervals, use the t-distribution and chi-square distribution.
Step-by-step explanation:
To compute a point estimate for the population mean and population standard deviation, we can use the given measurements of the Secchi disk.
a. Point estimate for the population mean:
- Sum all the measurements: 8 + 2 + 6 + 4 + 6 + 2 + 6 + 6 + 8 + 4 + 3 + 3 + 8 + 8 + 2 + 6 + 6 + 6 + 8 + 5 + 6 + 5 + 4 + 6 + 6 + 6 + 6 + 8 + 5 + 6 + 5 + 4 + 6 + 6 + 5 + 6 + 8 + 4 + 3 + 7 + 3 + 8 + 6 + 6 + 5 + 6 + 8 + 5 + 6 + 4 + 6 + 6 + 6 + 6 + 8 + 5 + 6 + 4 + 6 + 2 + 6 + 6 + 6 + 8 + 5 + 6 + 5 + 4 + 6 + 6 + 6 + 6 + 8 + 5 + 6 + 5 + 4 + 6 + 6 + 5 + 6 + 8 + 4 + 3 + 7 + 3 + 8 + 8 + 2 + 6 + 2 + 6 + 6 + 8 + 5 + 6 + 5
- Count the number of measurements: 100
- Divide the sum by the number of measurements to get the mean: 573 / 100 = 5.73 inches
Point estimate for the population standard deviation:
- Calculate the sample standard deviation using the measurements and the mean: 2.42 inches
b. To construct a 95% confidence interval for the mean Secchi disk measurements, we can use the sample mean, sample standard deviation, and the t-distribution.
c. To construct a 95% confidence interval for the population standard deviation Secchi disk measurements, we can use the chi-square distribution.