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Suppose that the population of the scores of all high school seniors that took the SAT-M (SAT math) test this year follows a normal distribution with unknown population mean and known standard deviation 100. You read a report that says, "On the basis of a simple random sample of 100 high school seniors that took the SAT-M test this year, a confidence interval for population mean is 512.00 ± 25.75." The confidence level for this interval is

User Jklaus
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Answer:


25.75 = z_(\alpha/2) (100)/(√(100))

And solving for the critical value we got:


z_(\alpha/2)= (25.75*10)/(100) = 2.575

Now we need to find the confidence level and for this case we can use find this probability:


P(-2.575< Z<2.575)= P(Z<2.575) -P(Z<-2.575)

And using the normal standard distribution or excel we got:


P(-2.575< Z<2.575)= P(Z<2.575) -P(Z<-2.575)= 0.9950-0.0050= 0.99

So then the confidence interval for this case is 99%

Explanation:

For this case the random variable X is the scores for the SAT math scores and we know that the distribution for X is normal:


X\sim N(\mu , \sigma =100)

They select a random sample of n =100 and they construc a confidence interval for the true population mean of interest and they got:


512.00 \pm 25.75

for this problem we need know that the confidence interval for the true mean when the deviation is known is given by:


\bar X \pm z_(\alpha/2)(\sigma)/(√(n))

The margin of error is given by:


ME =z_(\alpha/2) (\sigma)/(√(n))

And the margin of error for this interval is
ME = 25.75 then we can solve for the critical value in order to find the confidence level:


25.75 = z_(\alpha/2) (100)/(√(100))

And solving for the critical value we got:


z_(\alpha/2)= (25.75*10)/(100) = 2.575

Now we need to find the confidence level and for this case we can use find this probability:


P(-2.575< Z<2.575)= P(Z<2.575) -P(Z<-2.575)

And using the normal standard distribution or excel we got:


P(-2.575< Z<2.575)= P(Z<2.575) -P(Z<-2.575)= 0.9950-0.0050= 0.99

So then the confidence interval for this case is 99%

User Daren Thomas
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