Determine the sample size required to estimate the mean score on a standardized test within 5 points of the true mean with 99% confidence. assume that s=17 based on earlier studies.

Respuesta :

Given:
Accuracy = 5
99% confidence interval
s = 17, sample standard deviation.

Because the population standard deviation is unknown, we should use the Student's t distribution.
The accuracy at the 99% confidence level for estimating the true mean is
[tex]t*( \frac{s}{ \sqrt{n} )} [/tex]
where
n =  the sample size.
t* is provided by the t-table.

That is,
(17t*)/√n = 5
√n = (17t*)/5 = 3.4t*
n = 11.56(t*)²

A table of t* values versus df (degrees of freedom) is as follows.
Note that df = n-1.

     n      df         t*
------ --------  -------
1001 1000  2.581
  101    100  2.626
   81      80  2.639
   61      60  2.660

We should evaluate iteratively until the guessed value, n, agrees with the computed value, N.

Try n = 1001 => df = 1000.
t* = 2.581
N = 11.56*(2.581²) = 77
No agreement.

Try n = 81 => df = 80
t* = 2.639
N = 11.56*(2.639²) = 80.5
Good agreement

We conclude that n = 81.

Answer: The sample size is 81.

Based on the mean score and the confidence interval, the sample size required to estimate the mean score is 77.

What is the sample size required?

This can be found as:

= (Z score for 99% interval² x Sample size²) / Points off the true mean ²

Solving gives:

= (2.576² x 17²) / 5²

= 76.7

= 77

Find out more on the Z score at https://brainly.com/question/25638875.

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