Answer:
77.45% of the sparrows, taken 10 at a time, have mean concentration between 0.28 and 0.33 gram.
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 problem, we have that:
The adrenaline concentrations of all sparrows in a county are normally distributed with a mean of 0.3 gram and a standard deviation of 0.02 gram. This means that
.
What percentage of the sparrows, taken 10 at a time, have mean concentration between 0.28 and 0.33 gram?
This percentage is the pvalue of Z when
subtracted by the pvalue of Z when
. So
X = 33
![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{0.33 - 0.3}{0.02}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B0.33%20-%200.3%7D%7B0.02%7D)
has a pvalue of 0.9332
X = 28
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![\frac{0.28-0.30}{0.02}](https://tex.z-dn.net/?f=%5Cfrac%7B0.28-0.30%7D%7B0.02%7D)
has a pvalue of 0.1587
This means that 0.9332 - 0.1587 = 0.7745 = 77.45% of the sparrows, taken 10 at a time, have mean concentration between 0.28 and 0.33 gram.