1. The probability of success for a new experimental treatment is 0.80 in women. Assuming the same probability of success applies to men, a new trial is conducted to test the treatment in a sample of 6 men. Note that this defines a binomial random variable.
2. Continuing from the previous question where the probability of success is 0.80, what is the probability of observing exactly 6 successful treatments in your sample of 6 men?
0.26 |
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4.8 |
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0.015 |
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0.026 |
3. Continuing from the previous question where the probability of success is 0.80, what is the probability of observing less than 6 successful treatments in your sample of 6 men? (hint: the answer is a natural extension of the answer from the previous question)
0.74 |
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0.26 |
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0.15 |
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1.0 |
Solution:
Given:
p = probability of success = 0.80
n = Number of men = 6
x = Number of successful treatments in sample of 6 men follows a Binomial distribution with parameters n = 6 and p = 0.80
Part 1)
Binomial Random variable x can take values from 0 to n.
i) the minimum number of possible successes = 0
ii) the maximum number of possible successes = n = 6
iii) the expected number of successes = n * p = 6 * 0.8 = 4.8
Part 2) Find the probability of observing exactly 6 successful treatments in your sample of 6 men.
P( X= 6) =............?
Binomial probability formula :
Where q = 1 – p = 1 - 0.80= 0.20
Thus
Thus correct answer is: 0.26
Part 3) Find the probability of observing less than 6 successful treatments in your sample of 6 men.
P( X< 6) = ..............?
P( X< 6) = 1 - P( X = 6)
P( X< 6) = 1 - 0.26
P( X< 6) = 0.74
Thus correct answer is: 0.74
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