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GL Stats: lviixea conrldence Intervals Practice

On each problem, verify that the conditions for a confidence interval are met!
(1) Suppose the height of senior girls at Anytown High School is known to be normally distributed. A sample of
leights in inches of 23 randomly selected senior girls were: 63, 68, 60, 59, 68, 65, 67, 64, 69, 69, 61, 67, 61, 60,
66, 67, 68, 66, 70, 79, 76, 75, 65. Construct and interpret a 99% confidence interval for the true mean height​

1 Answer

6 votes

Answer:

99% Confidence interval: (63.65,69.65

Explanation:

We are given the following data:

63, 68, 60, 59, 68, 65, 67, 64, 69, 69, 61, 67, 61, 60, 66, 67, 68, 66, 70, 79, 76, 75, 65

Formula:


\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}

where
x_i are data points,
\bar{x} is the mean and n is the number of observations.


Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}


Mean =\displaystyle(1533)/(23) = 66.65

Sum of squares of differences = 575.217


S.D = \sqrt{(575.217)/(22)} = 5.11

99% Confidence interval:


\bar{x} \pm t_(critical)\displaystyle(s)/(√(n))

Putting the values, we get,


t_(critical)\text{ at degree of freedom 22 and}~\alpha_(0.01) = \pm 2.818


66.65 \pm 2.818((5.11)/(√(23)) ) = 66.65 \pm 3.002 = (63.65,69.65)

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