The Problem

If 60% of all women are employed outside the home, find the probability that in a sample of 20 women,

a). Exactly 15 are employed outside of the home.
b). At least 10 are employed outside of the home.

c). At most 5 are not employed outside of the home.

c). At most 5 are not employed outside of the home.
Symbolic Solution

From the text of the problem, we see that n = 20, the number in the sample. If we call "success" as "women employed outside the home" we have p = 60% = 0.6. Thus q = 1 - p = 0.4. At most 5 are NOT employed outside of the home means more than five are employed outside of the home.
Thus we need to compute P(X > 5) or using complements to simplify the problem, we get 1 - P( X 5).

The probability of at least 5 employed outside the home means does not directly fit our formula,

We would have to calculate P(x 5) as P(0) + P(1) + P(2) + P(3) + P(4) + P(5) and then subtract that sum from 1. That means that we would have to use the above formula 6 times and add up ALL the results. Instead we will use the calculator solution below.

Calculator Solution

From the text of the problem, we see that n = 20, the number in the sample. If we call "success" as "women employed outside the home" we have p = 60% = 0.6. We also have that x = 10.

There is a program on the TI83/84 that does the above formula for us. It is of the form: binomcdf(n, p, x). This program computes the cummulative frequency of

P(X x) or in this case, P( x 5).

On the home screen, type 1- and then press 2nd VARS [DISTR], arrow down to A:binomcdf( and press ENTER. Now we enter the parameters n, p, x. Type 20,.6, 5) and then press enter.

Thus, P( x > 5) = 1 - P(x 5 ) 0.998



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