Salmon Weights: Assume that the weights of spawning Chinook salmon in the Columbia river are normally distributed. You randomly catch and weigh 19 such salmon. The mean weight from your sample is 19.2 pounds with a standard deviation of 4.2 pounds. We want to construct a 99% confidence interval for the mean weight of all spawning Chinook salmon in the Columbia River.
(a) What is the point estimate for the mean weight of all
spawning Chinook salmon in the Columbia River?
pounds
(b) What is the critical value of t (denoted
tα/2) for a 99% confidence interval?
Use the value from the table or, if using software, round
to 3 decimal places.
tα/2 =
(c) What is the margin of error (E) for a 99% confidence
interval? Round your answer to 2 decimal
places.
E = pounds
(d) Construct the 99% confidence interval for the mean weight of
all spawning Chinook salmon in the Columbia River. Round
your answers to 1 decimal place.
< μ <
(e) Based on your answer to (d), are you 99% confident that the
mean weight of all spawning Chinook salmon in the Columbia River is
greater than 17 pounds and why?
No, because 17 is above the lower limit of the confidence interval. Yes, because 17 is below the lower limit of the confidence interval. No, because 17 is below the lower limit of the confidence interval. Yes, because 17 is above the lower limit of the confidence interval.
(f) Recognizing the sample size is less than 30, why could we use
the above method to find the confidence interval?
Because the parent population is assumed to be normally distributed. Because the sample size is less than 100. Because the sample size is greater than 10. Because we do not know the distribution of the parent population.
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