SOLUTION: The chance that a U.S. police chief believes the death penalty “significantly reduces the number of homicides” is 1 in 4. If a random sample of 8 police chiefs is selected, fin

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Question 1208472: The chance that a U.S. police chief believes the death penalty “significantly reduces the number of homicides” is 1 in 4. If a random sample of 8 police chiefs is selected, find the probability that at most 3 believe that the death penalty significantly reduces the number of homicides.
Answer by math_tutor2020(3816)   (Show Source): You can put this solution on YOUR website!

Answer: 0.88618 (approximate)

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Quick way to find the answer using technology

On a TI83 or similar, you would use the BinomCDF command.
The order of inputs is: n, p, k
n = number of trials = 8
p = probability of success = 0.25
k = number of successes = 3
Type in BinomCDF(8,0.25,3) to get the approximate result 0.88618
The answer will vary depending how you round it.

Here are some alternative technology options.Refer to the help manual for more information.

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The slightly longer method

The binomial probability formula is
B(x) = (nCx)*(p^x)*(1-p)^(n-x)
where,
n = number of trials
p = probability of success
x = number of successes
The nCx refers to the nCr combination formula. These values are found in Pascal's Triangle. A quick way to calculate the nCr values is to use the Combin function in a spreadsheet. Or you can use a TI Calculator.
Like with many things in math, there are many options to calculate nCr.

Let's calculate the probability of exactly 0 police chiefs believe that the death penalty significantly reduces the number of homicides.
B(x) = (nCx)*(p^x)*(1-p)^(n-x)
B(x) = (8Cx)*(0.25^x)*(1-0.25)^(8-x)
B(0) = (8C0)*(0.25^0)*(1-0.25)^(8-0)
B(0) = (1)*(0.25^0)*(1-0.25)^(8-0)
B(0) = 0.10011292
This value is approximate.
It is possible to calculate by hand, given a very long time, but I recommend a calculator.

Repeat the process to find these other values
B(1) = 0.26696777
B(2) = 0.3114624
B(3) = 0.2076416
I'll skip showing the steps for these.

Therefore,
B(0)+B(1)+B(2)+B(3)
= 0.10011292+0.26696777+0.3114624+0.2076416
= 0.88618469
= 0.88618
The answer will vary depending how you round it.

More practice with the Binomial Distribution is found on this page

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