Determine the minimum sample size required when you want to be 99% confident that the sample mean is within 0.50 units of the population mean. Assume a standard deviation of 2.9 in a normally distributed population.

a. 130
b. 224
c. 223
d. 129

Respuesta :

Answer:

b. 224

Step-by-step explanation:

We have that to find our [tex]\alpha[/tex] level, that is the subtraction of 1 by the confidence interval divided by 2. So:

[tex]\alpha = \frac{1-0.99}{2} = 0.005[/tex]

Now, we have to find z in the Ztable as such z has a pvalue of [tex]1-\alpha[/tex].

So it is z with a pvalue of [tex]1-0.005 = 0.995[/tex], so [tex]z = 2.58[/tex]

Now, find the margin of error M as such

[tex]M = z*\frac{\sigma}{\sqrt{n}}[/tex]

In which [tex]\sigma[/tex] is the standard deviation of the population and n is the size of the sample.

In this problem:

We want to find n, when [tex]M = 0.5, \sigma = 2.9[/tex] So

[tex]M = z*\frac{\sigma}{\sqrt{n}}[/tex]

[tex]0.5 = 2.58*\frac{2.9}{\sqrt{n}}[/tex]

[tex]0.5\sqrt{n} = 7.482[/tex]

[tex]\sqrt{n} = 14.964[/tex]

[tex](\sqrt{n})^{2} = (14.964)^{2}[/tex]

[tex]n = 223.9[/tex]

The nearest integer number to 223.9 is 224.

So the correct answer is:

b. 224