Question

Study the binomial distribution table. Notice that the probability of success on a single trial p...

Study the binomial distribution table. Notice that the probability of success on a single trial p ranges from 0.01 to 0.95. Some binomial distribution tables stop at 0.50 because of the symmetry in the table. Let's look for that symmetry. Consider the section of the table for which n = 5. Look at the numbers in the columns headed by p = 0.30 and p = 0.70. Do you detect any similarities? Consider the following probabilities for a binomial experiment with five trials.

(a) Compare P(3 successes), where p = 0.30, with P(2 successes), where p = 0.70.

They are the same.P(3 successes), where p = 0.30, is smaller.    P(3 successes), where p = 0.30, is larger.


(b) Compare P(3 or more successes), where p = 0.30, with P(2 or fewer successes), where p = 0.70.

P(3 or more successes), where p = 0.30, is smaller.They are the same.    P(3 or more successes), where p = 0.30, is larger.


(c) Find the value of P(4 successes), where p = 0.30. (Round your answer to three decimal places.)
P(4 successes) =

For what value of r is P(r successes) the same using p = 0.70?
r =

(d) What column is symmetrical with the one headed by p = 0.20?

the column headed by p = 0.85the column headed by p = 0.50    the column headed by p = 0.40the column headed by p = 0.80the column headed by p = 0.70

Homework Answers

Answer #1

Given:

Study the binomial distribution table.

Notice that the probability of success on a single trial p ranges from 0.01 to 0.95.

n = 5

p = 0.30 and p = 0.70

a)

P(3 successes)=0.1323 with P( 2 success) =0.1323

P(3 successes), where p = 0.30, is larger.

They are all same.

P(3 successes), where p = 0.30, is smaller.

b)

P( 3 or more successes )=0.163 with P( 2 or fewer successes) =0.163.

P(3 or more successes), where p = 0.30, is larger.

They are all same.

(3 or more successes), where p = 0.30, is smaller.

c) P(4 successes) = 0.028

So  r = 1

Therefore for r = 1 is P(r successes) the same using p = 0.70.

d) The column headed by p = 0.80 is symmetrical with the one headed by p = 0.20.

So C is the correct option.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose we have a binomial distribution with n trials and probability of success p. The random...
Suppose we have a binomial distribution with n trials and probability of success p. The random variable r is the number of successes in the n trials, and the random variable representing the proportion of successes is p̂ = r/n. (a) n = 44; p = 0.53; Compute P(0.30 ≤ p̂ ≤ 0.45). (Round your answer to four decimal places.) (b) n = 36; p = 0.29; Compute the probability that p̂ will exceed 0.35. (Round your answer to four...
Consider a binomial probability distribution with p=.35 and n=7. what is the probability of the following?...
Consider a binomial probability distribution with p=.35 and n=7. what is the probability of the following? a. exactly three successes P(x=3) b. less than three successes P(x<3) c. five or more successes P(x>=5)
For the binomial distribution with n = 10 and p = 0.3, find the probability of:...
For the binomial distribution with n = 10 and p = 0.3, find the probability of: 1. Five or more successes. 2. At most two successes. 3. At least one success. 4. At least 50% successes
Use Table A.2, Appendix A, to find the values of the following binomial distribution problems. (Round...
Use Table A.2, Appendix A, to find the values of the following binomial distribution problems. (Round your answers to 3 decimal places.) Appendix A Statistical Tables a. P(x = 14 | n = 20 and p = 0.60) = enter the probability of the 14th outcome if 0.60 of a random sample of 20 is taken b. P(x < 5 | n = 10 and p = 0.40) = enter the probability of fewer than 5 outcomes if 0.40 of...
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.699, and the probability of buying a movie ticket without a popcorn coupon is 0.301. If you buy 24 movie tickets, we want to know the probability that more than 16 of the tickets have popcorn coupons. (Consider tickets with popcorn coupons as successes in the binomial distribution.)
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.676 , and the probability of buying a movie ticket without a popcorn coupon is 0.324 . If you buy 25 movie tickets, we want to know the probability that more than 16 of the tickets have popcorn coupons. (Consider tickets with popcorn coupons as successes in the binomial distribution.)
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.787, and the probability of buying a movie ticket without a popcorn coupon is 0.213. If you buy 20 movie tickets, we want to know the probability that more than 13 of the tickets have popcorn coupons. (Consider tickets with popcorn coupons as successes in the binomial distribution.)
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.656 , and the probability of buying a movie ticket without a popcorn coupon is 0.344 . If you buy 15 movie tickets, we want to know the probability that more than 10 of the tickets have popcorn coupons. (Consider tickets with popcorn coupons as successes in the binomial distribution.)
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.690, and the probability of buying a movie ticket without a popcorn coupon is 0.310. If you buy 20 movie tickets, we want to know the probability that more than 13 of the tickets have popcorn coupons. (Consider tickets with popcorn coupons as successes in the binomial distribution.)
(1) Consider X that follows the Bernoulli distribution with success probability 1/4, that is, P(X =...
(1) Consider X that follows the Bernoulli distribution with success probability 1/4, that is, P(X = 1) = 1/4 and P(X = 0) = 3/4. Find the probability mass function of Y , when Y = X4 . Find the second moment of Y . (2) If X ∼ binomial(10, 1/2), then use the binomial probability table (Table A.1 in the textbook) to find out the following probabilities: P(X = 5), P(2.9 ≤ X ≤ 4.9) (3) A deck of...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT