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# Poisson and Binomial distributions

Use the binomial probability formula to determine the probability of x successes in n trials:
n=12, x=5, p=0.25

0.103
0.082
0.091
0.027

The probability is 0.7 that a person shopping at a certain store will spend less than \$20. For groups of size 22, find the mean number who spend less than \$20.
14.0
6.6
15.4
6.0

A company manufacturers batteries in batches of 18 and there is a 3% rate of defects. Find the standard deviation for the number of defects per batch.
0.721
0.735
0.703
0.724

Use the Poisson Distribution to find the indicated probability.
The number of calls received by a car towing service averages 16.8 per day (per 24-hour period). After finding the mean number of calls per hour, find the probability that in a randomly selected hour the number of calls is 2.

0.08516
0.13383
0.12166
0.15208

#### Solution Summary

The solution gives step by procedure for computing probability from Binomial and Poisson distributions

\$2.19