In a random sample of mobile​ devices, the mean repair cost was ​$ and the standard deviation was ​$. Assume the population is normally distributed and use a​ t-distribution to find the margin of error and construct a ​% confidence interval for the population mean. Interpret the results. The ​% confidence interval for the population mean is ​( nothing​, nothing​). ​(Round to two decimal places as​ needed.)

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Complete Question

In a random sample of

five mobile​ devices, the mean repair cost was $75.00 and the standard deviation was ​$11.50

Assume the population is normally distributed and use a​t-distribution to find the margin of error and construct a 95​%

confidence interval for the population mean. Interpret the results.

Answer:

The margin of error is  [tex]E = 10.1[/tex]

The 95% confidence interval  is [tex]64.9 < \mu < 85.1[/tex]

Step-by-step explanation:

From the question we are told that

  The sample mean is  [tex]\= x = \$ 75.00[/tex]

   The  standard deviation is  [tex]\sigma = \$ 11.50[/tex]

   The sample size is  n = 5

Given the that the confidence level is  95% then the level  of significance is mathematically represented as

            [tex]\alpha = 100 -95[/tex]

            [tex]\alpha = 5\%[/tex]

            [tex]\alpha = 0.05[/tex]

Next we obtain the critical value of  [tex]\frac{ \alpha }{2}[/tex] from the normal distribution table, the value is  

         [tex]Z_{\frac{\alpha }{2} } = 1.96[/tex]

Generally the margin of error is mathematically represented as

          [tex]E = Z_{\frac{\alpha }{2} } * \frac{\sigma }{ \sqrt{n} }[/tex]

substituting values

         [tex]E = 1.96* \frac{11.50 }{ \sqrt{5} }[/tex]

        [tex]E = 10.1[/tex]

The 95% confidence interval  is mathematically represented as

        [tex]\= x - E < \mu < \= x + E[/tex]

substituting values

        [tex]75 - 10.1< \mu < 75 + 10.1[/tex]

        [tex]64.9 < \mu < 85.1[/tex]