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pishuonlain [190]
3 years ago
5

A student records the repair cost for 6 randomly selected stereos. A sample mean of $65.62 and standard deviation of $24.23 are

subsequently computed. Determine the 90% confidence interval for the mean repair cost for the stereos. Assume the population is approximately normal. Step 1 of 2 : Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places.
Mathematics
1 answer:
Dvinal [7]3 years ago
8 0

Answer:

90% confidence interval for the mean repair cost for the stereos is [45.688 , 85.552].

Step-by-step explanation:

We are given that a student records the repair cost for 6 randomly selected stereos. A sample mean of $65.62 and standard deviation of $24.23 are subsequently computed.

Firstly, the pivotal quantity for 90% confidence interval for the true mean repair cost for the stereos is given by;

         P.Q. = \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } ~ t_n_-_1

where, \bar X = sample mean repair cost = $65.62

             s = sample standard deviation = $24.23

             n = sample of stereos = 6

             \mu = true mean repair cost

<em>Here for constructing 90% confidence interval we have used t statistics because we don't know about population standard deviation.</em>

So, 90% confidence interval for the true mean repair cost, \mu is ;

P(-2.015 < t_5 < 2.015) = 0.90  {<u>As the critical value of t at 5 degree of </u>

                                                 <u>freedom are -2.015 & 2.015 with P = 5%</u>}

P(-2.015 < \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } < 2.015) = 0.90

P( -2.015 \times {\frac{s}{\sqrt{n} } } < {\bar X - \mu} < 2.015 \times {\frac{s}{\sqrt{n} } } ) = 0.90

P( \bar X -2.015 \times {\frac{s}{\sqrt{n} } < \mu < \bar X +2.015 \times {\frac{s}{\sqrt{n} } ) = 0.90

<u>90% confidence interval for</u> \mu = [ \bar X -2.015 \times {\frac{s}{\sqrt{n} } , \bar X +2.015 \times {\frac{s}{\sqrt{n} } ]

                                                 = [ 65.62 -2.015 \times {\frac{24.23}{\sqrt{6} } , 65.62 +2.015 \times {\frac{24.23}{\sqrt{6} } ]

                                                 = [45.688 , 85.552]

Therefore, 90% confidence interval for the true mean repair cost for the stereos is [45.688 , 85.552].

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