There is a 0.02275 probability that the age of any randomly chosen person in the department is less than 22 and 0.15866 probability that the age of any randomly chosen person is greater than 43. What is the mean of this distribution?

The mean of this distribution is 36 years of age.

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this problem, we have that:

There is a 0.02275 probability that the age of any randomly chosen person in the department is less than 22.

This means that when X = 22, Z has a pvalue of 0.02275. So when X = 22,

So

0.15866 probability that the age of any randomly chosen person is greater than 43.

Tis means that when X = 43, Z has a pvalue of 1-0.15866 = 0.84134. So when X = 43,

So

We have that:

So

What is the mean of this distribution?

The mean of this distribution is 36 years of age.

part a

x     y

0     8

1     7.5

2     7

3     6.5

4     6

5     5.5  

for every hour i deducted .5 inches from the length of the candle

part b

it is a function because for every x value there is only one y value

part   c

for every x value there is only one y value

x       y

0       8

1       7.6

2       7.2

3       6.8

step-by-step explanation:

answer: he is 272195

step-by-step explanation: all you have to do is multiple 3535 and 77 and it equals 272195