Assume the variable is normally distributed, the confidence interval at 95% is equal to 6.5 < μ < 7.7.
A confidence interval can be defined as a range of estimated values that defines the probability that a population parameter would fall or lie within it.
For this exercise, we would use the t-distribution to determine the 95% confidence interval of the mean time because the variance is unknown and shall be replaced by the sample standard deviation.
For the degree of freedom, we have:
Degree of freedom, df = n - 1
Degree of freedom, df = 10 - 1
Degree of freedom, df = 9.
Thus, tα/2 = 2.262.
Assume the variable is normally distributed, the confidence interval would be given by:
X - tα/2(s/√n) < μ < X + tα/2(s/√n)
Substituting the given parameters into the formula, we have;
Confidence interval = 7.1 - 2.262(0.78/√10) < μ < 7.1 + 2.262(0.78/√10).
Confidence interval = 7.1 - 0.56 < μ < 7.1 + 0.56.
Confidence interval = 6.5 < μ < 7.7.
In conclusion, you can be 95% confident that the mean of the ten randomly selected people is between 6.5 and 7.7.
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