Thursday

October 23, 2014

October 23, 2014

Posted by **ruth** on Thursday, August 10, 2006 at 2:06am.

to fall between the values 58 and 62.

One concept of the Central Limit Theorem is something called the "standard error of the mean" which represents the standard deviation of the sampling distribution of the mean. This is calculated by taking the standard deviation in a population and dividing it by the square root of the sample size. Since the sample size is what you are trying to find here, you will need to set up equations to solve for that value. Note that standard deviation is the positive square root of the variance. If we use a z-table for normal distributions, we find the value +/- 1.645 to represent 90% for this problem. Setting up the equations:

-1.645 = (58 - 60)/(√30/√n)

1.645 = (62 - 60)/(√30/√n)

Solving either equation for n will yield the sample size. You can round the sample size to the next highest whole number if you are asked to do so.

Hopefully someone else can help you with your other two posts.

**Answer this Question**

**Related Questions**

Statistics - True or False According to the central limit theorem, the expected ...

statistics - 7. Determine whether it is appropriate to apply the Central Limit ...

STATISTICS - According to the Central Limit Theorem, The traditional sample size...

STATISTICS - WHAT DOES THE CENTRAL LIMIT THEOREM SAY ABOUT THE TRADITIONAL ...

statistics - Suppose we take a random sample of size n from a normal population ...

statistics - An IQ is designed so that the mean is 100 and the standard ...

Statistics - 1. Suppose the distribution of birth weights of babies born at Big ...

Statistics - An IQ test is designed so that the mean is 100 and the standard ...

Statistics - Kind attention Psydag: A random sample of size 20 from a normal ...

statistics - Why is the population shape a concern when estimating a mean? What ...