Answer:
0.4325 = 43.25% probability that the mouse weighs less than 722 grams
Explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean
and standard deviation
, the z-score of a measure X is given by:

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 of 726 grams and a standard deviation of 23 grams.
This means that

a) What is the probability that the mouse weighs less than 722 grams
This is the p-value of Z when X = 722. So



has a p-value of 0.4325
0.4325 = 43.25% probability that the mouse weighs less than 722 grams