How many parts should be sampled in order to estimate the population mean to within 0.1 millimeter (mm) with 95% confidence? Previous studies of this machine have indicated that the standard deviation of lengths produced by the stamping operation is about 1.8 mm.

Respuesta :

Answer:

At least 1245 parts should be sampled.

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{1-0.95}{2} = 0.025[/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]1-0.025 = 0.975[/tex], so [tex]z = 1.96[/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.

How many parts should be sampled in order to estimate the population mean to within 0.1 millimeter (mm) with 95% confidence?

This is at least n parts, in which n is found when [tex]M = 0.1, \sigma = 1.8[/tex]

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

[tex]0.1 = 1.96*\frac{1.8}{\sqrt{n}}[/tex]

[tex]0.1\sqrt{n} = 1.96*1.8[/tex]

[tex]\sqrt{n} = \frac{1.96*1.8}{0.1}[/tex]

[tex](\sqrt{n})^{2} = (\frac{1.96*1.8}{0.1})^{2}[/tex]

[tex]n = 1244.67[/tex]

Rouding up

At least 1245 parts should be sampled.