In: Statistics and Probability
Assume a binomial probability distribution with n= 45 and π= 0.28 . Compute the following: (Round all your z values to 2 decimal places.)
A. The mean and standard deviation of the random variable. (Round your "σ" to 4 decimal places and mean to 1 decimal place.)
B. The probability that X is 17 or more. (Use the rounded values found above. Round your answer to 4 decimal places.)
C. The probability that X is 7 or less. (Use the rounded values found above. Round your answer to 4 decimal places.)
Random variable X follows Binomial distribution with n = 45 and
> 10
So we can use here normal approximation with mean and standard deviation given below:
A) Mean =
= 45 * 0.28
= 12.6
Mean = 12.6
Standard deviation
= 3.0120 (Round to 4 decimal)
Standard deviation = 3.0120
Define new random variable Y follows Normal with mean = and standard deviation =
Since Binomial is discrete and normal is continuous , a continuity correction factor must be applied when using normal approximation to binomial distribution. In general, following adjustments are made for finding probabilities:
Exact Binomial probability | Normal Approximation |
B) Here we have to find
Where z is standard normal variable
(Round z to 2 decimal)
= 1 - P(z < 1.29)
= 1 - 0.9015 (From statistical table of z values)
= 0.0985
C) Here we have to find
(Round z to 2 decimal)
= 0.0455