Answer:
4.56, so he should expect between 4 and 5 of them to contain fewer than 34 nuts.
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
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 p-value, we get the probability that the value of the measure is greater than X.
Mean 42 and standard deviation 4.
This means that [tex]\mu = 42, \sigma = 4[/tex]
Proportion with fewer than 34 nuts:
p-value of Z when X = 34. So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{34 - 42}{4}[/tex]
[tex]Z = -2[/tex]
[tex]Z = -2[/tex] has a p-value of 0.0228.
Out of 200 bags:
0.0228*200 = 4.56.
4.56, so he should expect between 4 and 5 of them to contain fewer than 34 nuts.