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Binomial probability Answers
When dealing with the binomial distribution, why are the possible values for the random variable always 0,1,2,3,…,n where n is the number of trials or sample size? Why can't we use negative values, or fractions, or numbers greater than n?
Determine the binomial probability when n =10, p = 0.50, x = 8.
X denotes a binomial random variable with parameters n and p, Indicate which area under the appropriate normal curve would be determined to approximate the specified binomial probability.
Convert the binomial probability to a normal distribution probability using continuity correction. P (x = 45).
Please, find the normal approximation for the binomial probability of P(x = 3) where n = 12 and p = 0.5
The probability that a patient recovers from a stomach disease is 0.8. Suppose 20 people are known to have contracted this disease. What is the probability that exactly 14 recover?
1) State the formula for the Binomial Probability Distribution, also state the domain. 2) Tell what the requirement for the Binomial experiment are. 3) List both formulas for calculating the mean of a Binomial Probability Distribution. 4) List the formulas for the standard deviation of a Binomial Probability Distribution.
A binomial probability is given: P(x <= 124) Find the answer that corresponds to the binomial probability statement. a) P(x > 123.5) b) P(x < 123.5) c) P(x < 124.5) d) P(x > 124.5) e) P(123.5 < x < 124.5)
There is a binomial distribution with n = 6 trials, and a probability of success of p = 0.10. Find the probability that the number of successes x is exactly 2. P(x = 2) =…
Please, convert the binomial probability to a normal distribution probability using continuity correction. P (x > 65).
How would you find the Standard Deviation?
Determine the following Binomial Probability: for n=4, p=0.12, x=0.
Please, find the binomial probability when n = 6, p = 0.83, x = 5.
What is the row of Pascal’s triangle containing the binomial coefficients
Convert the binomial probability to a normal distribution probability using continuity correction. P (x <= 36).
Convert the binomial probability to a normal distribution probability using continuity correction. P(x > 14).
Find the normal approximation for the following binomial probability of P(x = 3) where n = 13 and p = 0.60
If n=5 and p=0.40, what is the binomial probability that X < 3?
Convert the binomial probability to a normal distribution probability using continuity correction. P(55< x < 60)
A company Web site contains errors on 50 of 1000 pages. If 100 pages are sampled randomly, without replacement, approximate the probability that at least 1 of the pages in error are in the sample.
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