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Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the critical value 
t_(alpha//2), (b) find the critical value 
z_(alpha//2), or (c) state that neither the normal distribution nor the 
t distribution applies.
The confidence level is 
99%,sigma=3262 thousand dollars, and the histogram of 59 player salaries (in thousands of dollars) of football players on a team is as shown.
Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
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Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the critical value tα/2 t_{\alpha / 2} , (b) find the critical value zα/2 z_{\alpha / 2} , or (c) state that neither the normal distribution nor the t t distribution applies.\newlineThe confidence level is 99%,σ=3262 99 \%, \sigma=3262 thousand dollars, and the histogram of 5959 player salaries (in thousands of dollars) of football players on a team is as shown.\newlineSelect the correct choice below and, if necessary, fill in the answer box to complete your choice.\newlineClear all

Full solution

Q. Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the critical value tα/2 t_{\alpha / 2} , (b) find the critical value zα/2 z_{\alpha / 2} , or (c) state that neither the normal distribution nor the t t distribution applies.\newlineThe confidence level is 99%,σ=3262 99 \%, \sigma=3262 thousand dollars, and the histogram of 5959 player salaries (in thousands of dollars) of football players on a team is as shown.\newlineSelect the correct choice below and, if necessary, fill in the answer box to complete your choice.\newlineClear all
  1. Determine Critical Value: To determine the critical value for constructing a confidence interval, we need to know whether the population standard deviation is known and whether the sample size is large enough to use the normal distribution. Since the population standard deviation is given σ=3262\sigma = 3262 thousand dollars), and the sample size is 5959, which is greater than 3030, we can use the zz-distribution for constructing the confidence interval.
  2. Confidence Level: The confidence level is 99%99\%, which means that the area in the tails (α\alpha) is 1%1\% or 0.010.01. Since the confidence interval is two-tailed, we need to find the critical value zα/2z_{\alpha/2} that corresponds to the upper 0.5%0.5\% of the zz-distribution.
  3. Find zα/2z_{\alpha/2}: To find the critical value zα/2z_{\alpha/2}, we can use a standard normal distribution table or a calculator with inverse normal distribution functions. We look up or calculate the z-score that corresponds to the cumulative area of 0.9950.995 (since 10.005=0.9951 - 0.005 = 0.995).
  4. Calculate z-score: Using a standard normal distribution table or calculator, we find that the z-score that corresponds to a cumulative area of 0.9950.995 is approximately 2.5762.576.
  5. Final Critical Value: Therefore, the critical value zα/2z_{\alpha/2} for a 99%99\% confidence interval is 2.5762.576.

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