Solution:
We are given
n = 500
p = 0.5
q = 1 - p = 1 - 0.5 = 0.5
µ = Mean = np = 500*0.5 = 250
σ = SD = Sqrt(npq) = sqrt(500*0.5*0.5) = 11.18034
We have to find P(240≤X≤270) ≈ P(239.5 < X < 270.5)
P(239.5 < X < 270.5) = P(X<270.5) - P(X<239.5)
Z = (X - µ)/σ
Z = (270.5 - 250)/ 11.18034
Z = 1.833576
P(Z<1.833576) = P(X<270.5) = 0.966642
(You can find this probability by using z-table/Ti-84/83 calculator/excel/software/etc.)
Now find P(X<239.5)
Z = (239.5 - 250)/ 11.18034
Z = -0.93915
P(Z<-0.93915) = P(X<239.5) = 0.173827
(by using z-table)
P(239.5 < X < 270.5) = P(X<270.5) - P(X<239.5)
P(239.5 < X < 270.5) = 0.966642 - 0.173827
P(239.5 < X < 270.5) = 0.792815
The probability of obtaining 240-270 successes is approximately 0.79.
dont understand 0 A binomial experiment consists of 500 trials. The probability of success for each...
A binomial experiment consists of 600 trials with the probability of success for each trial 0.3. What is the probability of obtaining 202 or more successes? (This binomial experiment easily passes the rule-of-thumb test, as you can check. When computing the probability, adjust the given interval by extending the range by 0.5 on each side.) Click the icon to view the area under the standard normal curve table. The probability of obtaining 202 or more successes is (Round the final...
A binomial experiment consists of 600 trials with the probability of success for each trial 0.3. What is the probability of obtaining 202 or more successes? (This binomial experiment easily passes the rule-of-thumb test, as you can check. When computing the probability, adjust the given interval by extending the range by 0.5 on each side.) Click the icon to view the area under the standard normal curve table. The probability of obtaining 202 or more successes is (Round the final...
Still need help
> A binomial experiment consists of 400 trials with the probability of success for each trial 0.3. What is the probability of obtaining 132 or more successes? (This binomial experiment easily passes the rule-of-thumb test, as you can check When computing the probability, adjust the given interval by extending the range by 0.5 on each side) Click the icon to view the area under the standard normal curve table. The probability of obtaining 132 or more successes...
A binomial experiment consists of 500 trials with the probability of success for each tria 3 What is the probability of obtaining 173 or more successes? (This binomial experimentally passes the nude of thumb lest as you can check. When computing the probability, adjust the given interval by extending the range by 05 on each side) IT Click the icon to view the area under the standard normal curve table The probability of obtaining 173 or more successen i (Round...
HELP
o A binomial experiment consists of 100 trials with the probability of success for each 03 What is the probability of obtaining 132 or more success? (This binomial experiment easily passes the thumbs as you can check when computing the probability, adjust the given interval by extending the range by 05 on each side) Click the icon to view the under the standard normal curve table The probability of obtaining 132 or more success is (Round the finalwer to...
Consider a binomial experiment with 15 trials and probability 0.55 of success on a single trial. (a) Use the binomial distribution to find the probability of exactly 10 successes. (Round your answer to three decimal places.) (b) Use the normal distribution to approximate the probability of exactly 10 successes. (Round your answer to three decimal places.) (c) Compare the results of parts (a) and (b). These results are almost exactly the same. These results are fairly different.
Consider a binomial experiment with 20 trials and probability 0.55 of success on a single trial. (a) Use the binomial distribution to find the probability of exactly 10 successes. (Round your answer to three decimal places.) (b) Use the normal distribution to approximate the probability of exactly 10 successes. (Round your answer to three decimal places.) (c) Compare the results of parts (a) and (b). These results are fairly different. These results are almost exactly the same.
Consider a binomial experiment with 20 trials and probability 0.45 of success on a single trial. (a) Use the binomial distribution to find the probability of exactly 10 successes. (Round your answer to three decimal places.) (b) Use the normal distribution to approximate the probability of exactly 10 successes. (Round your answer to three decimal places.) (c) Compare the results of parts (a) and (b). These results are fairly different.These results are almost exactly the same.
Given the binomial experiment with n = 400 trials and probability of success on a single trial p = 0.02, find the value of a successes. (Round your answer to four decimal places.) Use the Poisson distribution to estimate the probability of Per = 8) -
Negative Binomial experiment is based on sequences of Bernoulli trials with probability of success p. Let x+m be the number of trials to achieve m successes, and then x has a negative binomial distribution. In summary, negative binomial distribution has the following properties Each trial can result in just two possible outcomes. One is called a success and the other is called a failure. The trials are independent The probability of success, denoted by p, is the...