# Get help with binomial probability

Recent questions in Binomial probability
Binomial probability

### Assume that a procedure yields a binomial distribution with $$n=33$$ trials and a probability of success of $$p=0.10$$ Use a binomial probability table to find the probability that the number of successes x is exactly 22. Using a binomial probability table

Binomial probability

### Can be given binomail probability approximated by the normal probability destribution? $$p=.20$$ and $$n=100$$

Binomial probability

### What is the probability of 15 or fewer succeses? $$p=.20$$ and $$n=100$$

Binomial probability

### A binomial probability is given P(x>73) Which probability statement that corresponds to the binomial probability statement?

Binomial probability

### Write mean and standard deviation of given binominal probability p=.20 and n=100

Binomial probability

### An egg distributer determines that the probability that any individual egg has a crack is 0.15. ​a) Write the binomial probability formula to determine the probability that exactly x eggs of n eggs are cracked. ​b) Write the binomial probability formula to determine the probability that exactly 2 eggs in a​ one-dozen egg carton are cracked. Do not evaluate.

Binomial probability

### What is the probability of P(X=k) if a binomial distribution with a trial repeated n = 17 times,using the binomial probability formula to find the probability of k = 8 successes given the probability p=74% of success on a single trial?

Binomial probability

### Find a basis for the set of vectors in ℝ3 in the plane × + 2y + z = 0.

Binomial probability

### Use the binomial probability formula to find $$P(x)$$ $$n= 16,\ x=3,\ p- \frac{1}{5}$$

Binomial probability

### When Julia is writing a first draft, there is 0.7 probability that there will be no spellin mistakes on a page. One day, Julia writes a first draft that is 4 pages long. Assuming that Julia is equally likely to have a spelling mistake on each of the 4 pages, what is the probability that she will have no spelling mistakes on at least one of them? Round your answer to the nearest hundredth.

Binomial probability

### X denotes a binomial random variable with parameters n and p. For each exercise, indicate which area under the appropriate normal curve would be determined to approximate the specified binomial probability. P(7< X ≤ 10)

Binomial probability

### Assume a binomial probability distribution has p = 0.80 and n = 400. a) what is the mean and standard deviation b) is this situation one in which binomial probabilities can be approximated by the normal probability distribution? Explain. c) what is the probability of 300 to 310 successes? Use the normal approximation of the binomial distribution to answer this question. (Round your answer to four decimal places.)

Binomial probability

### The number of products manufactured in a factory in a day are 3500 and the probability that some pieces are defected is 0.55 then the mean of binomial probability distribution is

Binomial probability

### A literature professor decides to give a 10-question true - false quiz to determine who has read an assigned novel. If a student who read the novel has a chance 90% of answering a question correctly, what is the chance of that student scoring 8 or more questions correctly?

Binomial probability

### What is the probability of 18 to 22 succeses? p=.20 and n=100

Binomial probability

### A fair quarter is flipped three times. For each of the following probabilities, use the formula for the binomial distribution and a calculator to compute the requested probability. Next, look up the probability in the binomial probability distribution table. (Enter your answers to three decimal places.) (b) Find the probability of getting exactly two heads. (c) Find the probability of getting two or more heads.

Binomial probability

### A manufacturing machine has a 5% defect rate. If 8 items are chosen at random, what is the probability that at least one will have a defect?

Binomial probability

### An advertising agency is conducting a survey to after introducing a fruit drink in the market. As per the survey about 60 % of the people like the drink. If we randomly select 10 people, using Binomial probability distribution, find the probability that a) at least 8 people like the drink. b) at most 3 people like the drink

Binomial probability