A normal population has a mean 100 and variance 25. How large must the sample size be if we want the standard error of the sample average to be at most 1.5? The sample size is an integer value.

Respuesta :

Answer:

A sample size of 12 or more will give a standard error of atmost 1.5.

Step-by-step explanation:

We are given the following in the question:

Population mean = 100

Variance = 25

[tex]\sigma^2 = 25\\\sigma =\sqrt{25} = 5[/tex]

Thus, the standard deviation is 5.

Formula:

Standard error =

[tex]\dfrac{\sigma}{\sqrt{n}}[/tex]

Putting values, we get,

[tex]\dfrac{\sigma}{\sqrt{n}} \le 1.5\\\\\dfrac{5}{\sqrt{n}} \leq 1.5\\\\\Rightarrow \sqrt{n} \geq \dfrac{5}{1.5}=3.33\\\\\Rightarrow n \geq 11.11\\\Rightarrow n = 12[/tex]

Thus, a sample size of 12 or more will give a standard error of atmost 1.5.