The manager of a warehouse would like to know how many errors are made when a product's serial number is read by a bar-code reader. Six samples are collected of the number of scanning errors: 36, 14, 21, 39, 11, and 2 errors, per 1,000 scans each.

Respuesta :

Answer:

[tex](a)\ \bar x =20.5[/tex]

[tex](b)\ \sigma = 14.54[/tex]

Step-by-step explanation:

Given

[tex]x: 36, 14, 21, 39, 11, 2[/tex]

Solving (a): The mean of the 6 samples.

This is calculated as:

[tex]\bar x = \frac{\sum x}{n}[/tex]

So, we have:

[tex]\bar x =\frac{36+ 14+ 21+ 39+ 11+ 2}{6}[/tex]

[tex]\bar x =\frac{123}{6}[/tex]

[tex]\bar x =20.5[/tex]

Solving (b): The sample standard deviation.

This is calculated using:

[tex]\sigma = \sqrt{\frac{\sum(x - \bar x)^2}{n-1}}[/tex]

So, we have:

[tex]\sigma = \sqrt{\frac{(36 - 20.5)^2 + (14 - 20.5)^2 + (21 - 20.5)^2 + (39 - 20.5)^2 + (11 - 20.5)^2 + (2 - 20.5)^2}{6-1}}[/tex]

[tex]\sigma = \sqrt{\frac{1057.5}{5}}[/tex]

[tex]\sigma = \sqrt{211.5}[/tex]

[tex]\sigma = 14.54[/tex]