Problem

Question 7
2 pts
(CO 4) Determine the minimum sample size required when you want to be $80 \%$ confident that the sample mean is within 1.3 units of the population mean. Assume a standard deviation of 9.24 in a normally distributed population.
84
195
83
194

Answer

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Answer

Final Answer: The minimum sample size required is \(\boxed{83}\).

Steps

Step 1 :The question is asking for the minimum sample size required to be 80% confident that the sample mean is within 1.3 units of the population mean. The standard deviation is given as 9.24.

Step 2 :We can use the formula for the sample size in a confidence interval estimation for a population mean: \(n = (Z*σ/E)^2\) where: n is the sample size, Z is the Z-score (which corresponds to the desired confidence level), σ is the standard deviation of the population, E is the desired margin of error.

Step 3 :For a confidence level of 80%, the Z-score is approximately 1.28 (you can find this value in a standard Z-table or use a statistical calculator).

Step 4 :Let's plug the values into the formula and calculate the sample size. Z = 1.28, sigma = 9.24, E = 1.3, n = 83.

Step 5 :The calculation gives us the minimum sample size required to be 80% confident that the sample mean is within 1.3 units of the population mean, given a standard deviation of 9.24. The result is 83.

Step 6 :Final Answer: The minimum sample size required is \(\boxed{83}\).

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