Answer:
False
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 zscore 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 pvalue, we get the probability that the value of the measure is greater than X.
Mean equal to 2.04 pounds and a standard deviation of 0.25 pounds.
This means that

The probability of a sack weighing more than 2.40 pounds is 0.4251. True or False.
We have to find 1 subtracted by the vpalue of Z when X = 2.4. So



has a pvalue of 0.9251
1 - 0.9251 = 0.0749
The probability is 0.0749, which means that the answer is False.