Answer:
228 cookies wil be rejected in a 5,000 count batch of cookies.
Step-by-step explanation:
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this question:
![\mu = 42, \sigma = 1.5](https://tex.z-dn.net/?f=%5Cmu%20%3D%2042%2C%20%5Csigma%20%3D%201.5)
Proportion of rejected cookies.
Less than 39:
pvalue of Z when X = 39.
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{39 - 42}{1.5}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B39%20-%2042%7D%7B1.5%7D)
![Z = -2](https://tex.z-dn.net/?f=Z%20%3D%20-2)
has a pvalue of 0.0228.
More than 45:
1 subtracted by the pvalue of Z when X = 45.
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{45 - 42}{1.5}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B45%20-%2042%7D%7B1.5%7D)
![Z = 2](https://tex.z-dn.net/?f=Z%20%3D%202)
has a pvalue of 0.9772
1 - 0.9772 = 0.0228
Total:
2*0.0228 = 0.0456
How many cookies wil be rejected in a 5,000 count batch of cookies?
The proportion of cookies rejected is 0.0456. Out of 5000:
0.0456*5000 = 228
228 cookies wil be rejected in a 5,000 count batch of cookies.