A tire manufacturer would like to estimate the average tire life of its new​ all-season light truck tire in terms of how many miles it lasts. Determine the sample size needed to construct a 98​% confidence interval with a margin of error equal to 3 comma 000 miles. Assume the standard deviation for the tire life of this particular brand is 9 comma 000 miles. The sample size needed is nothing. ​(Round up to the nearest​ integer.)

Respuesta :

Answer:

Sample size of at least 49 must be needed .

Step-by-step explanation:

We are given that a 98​% confidence interval is constructed with a margin of error equal to 3,000 miles. Assume the standard deviation for the tire life of this particular brand is 9,000 miles.

So, Margin of error formula is given by = [tex]Z_\frac{\alpha}{2}* \frac{\sigma}{\sqrt{n} }[/tex]

where, [tex]\alpha[/tex] = significance level which is 2%

            [tex]\sigma[/tex] = standard deviation = 9,000 miles

            n = sample size

Here, the value of z score at 2% significance level is 2.3263 .

So, margin of error = 2.3263 * [tex]\frac{9000}{\sqrt{n} }[/tex]

                        [tex]\sqrt{n}[/tex] = [tex]\frac{2.3263*9000}{ 3000}[/tex]

                              = 6.9789

                         n = [tex]6.9789^{2}[/tex] = 48.7 or ≈ 49 (approx)

Therefore, sample size of at least 49 must be needed .