Evaluating probability: A particular type of mouse's weights are normally distributed, with a mean of 726 grams and a standard deviation of 23 grams. If you pick one mouse at random, find the following: (round all probabilities to four decimal places) a) What is the probability that the mouse weighs less than 722 grams

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Answer:

0.4325 = 43.25% probability that the mouse weighs less than 722 grams

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 of 726 grams and a standard deviation of 23 grams.

This means that [tex]\mu = 726, \sigma = 23[/tex]

a) What is the probability that the mouse weighs less than 722 grams

This is the p-value of Z when X = 722. So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{722 - 726}{23}[/tex]

[tex]Z = -0.17[/tex]

[tex]Z = -0.17[/tex] has a p-value of 0.4325

0.4325 = 43.25% probability that the mouse weighs less than 722 grams

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