Respuesta :
Answer:
11%
Explanation:
Sample size, n = 200
Mean, m = 2.4
Standard deviation, s = 0.8
Z critical at 95% = 1.96
Margin of Error = Zcritical * sqrt(s^2 / n)
Margin of Error = 1.96 * sqrt(0.0032)
Margin of Error = 1.96 * 0.0565685
Margin of Error = 0.1108743
Hence, margin of error at 95% confidence interval is (0.1108743 * 100%) = 11.08% = 11%
The mean and the standard deviation of the sample data are 2.4 hours and 0.8 hours . Therefore, the margin of error for 95 % confidence interval is equal to 11%.
What is the term Margin of Error about?
A margin of error helps to provide the information about the difference between the real population value and expected results.
Given Information:
Sample size, n = 200
Mean, m = 2.4
Standard deviation, s = 0.8
Z critical at 95% = 1.96
Solution:
Margin of Error = Z critical * sqrt(s^2 / n)
Margin of Error = 1.96 * sqrt(0.0032)
Margin of Error = 1.96 * 0.0565685
Margin of Error = 0.1108743
Hence, margin of error at 95% confidence interval is (0.1108743 * 100%) = 11.08% = 11%
Learn more about margin of error, refer to the link:
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