For each? situation, identify the sample size? n, the probability of success? p, and the number of successes x. Give the answer in the form? b(n,p,x). Do not go on to find the probability. Assume the four conditions for a binomial experiment are satisfied. Complete parts? (a) and? (b) below.
a. In the
20088
presidential? election,
5555?%
of the voters voted for a certain candidate. What is the probability that
2626
out of
5050
independently chosen voters voted for this? candidate?The probability is
?b(n,p,x)equals=b left parenthesis nothing comma nothing comma nothing right parenthesisb,,.
?(Type integers or decimals. Do not? round.)
b. The manufacturer of a certain vehicle recovery system claims that the probability that a stolen vehicle using its product will be recovered is
8383?%.
What is the probability that exactly
1919
out of
2525
independently stolen vehicles with this product will be? recovered?The probability is
?b(n,p,x)equals=b left parenthesis nothing comma nothing comma nothing right parenthesisb,,.
?(Type integers or decimals. Do not? round.)
For each? situation, identify the sample size? n, the probability of success? p, and the number...
A simple random sample of size n=64 is obtained from a population that is skewed right with μ=81 and σ=24. (a) Describe the sampling distribution of x overbarx. (b) What is Upper P left parenthesis x overbar greater than 84.15 right parenthesisP x>84.15? (c) What is Upper P left parenthesis x overbar less than or equals 73.65 right parenthesisP x≤73.65? (d) What is Upper P left parenthesis 78.6 less than x overbar less than 87.15 right parenthesisP 78.6<x<87.15? (a) Choose...
Consider a binomial probability distribution with p= 0.65 and n=7 . Determine the probabilities below. a) Upper P left parenthesis x equals 2 right parenthesis b) Upper P left parenthesis x less than or equals 1 right parenthesis c) Upper P left parenthesis x greater than 5 right parenthesis a) Upper P left parenthesis x equals 2 right parenthesis = (Round to four decimal places as needed.)
Consider a hypergeometric probability distribution with n=7, R=9, and N=18. a) Calculate P(x=5). b) Calculate P(x=4). c) Calculate P(x less than or equals1). d) Calculate the mean and standard deviation of this distribution. a) P(x=5)= nothing (Round to four decimal places as needed.)
Please do all 3 problems 1. Find C(n, x)pxqn − xfor the given values of n, x, and p. (Round your answer to four decimal places.) n = 6, x = 5, p = 0.7 2.Let X be the number of successes in six independent trials of a binomial experiment in which the probability of success is p = 2/5. Find the following probabilities. (Round your answers to four decimal places.) (a) P(X = 5) (b) P(2 ≤ X ≤...
4. You toss n coins, each showing heads with probability p, independently of the other tosses. Each coin that shows tails is tossed again. Let X be the total number of tails (a) What type of distribution does X have? Specify its parameter(s). (b) What is the probability mass function of the total number of tails X?
The number of balls in a box, N, is a Poisson variable with rate A. Each ball in the box can be white with probability p or red, with probability q = 1-p. Let X be the number of white balls in a box and Y the number of red balls in the same box, so that X+Y = N. The joint probability P(X i, Y = j), i, j 0? (b (A) The number of balls in a box,...
[20] A plant sheds X seeds, where X B(n,p).Each seed germinates with probability o independently of all others. Let Y number of seedlings. 5. a) Find the pmf of Y b) Determine E(Y) and Var(Y).
Problem 1 Consider a sequence of n+m independent Bernoulli trials with probability of success p in each trial. Let N be the number of successes in the first n trials and let M be the number of successes in the remaining m trials. (a) Find the joint PMF of N and M, and the marginal PMFs of N and AM (b) Find the PMF for the total number of successes in the n +m trials. Problem 1 Consider a sequence...
Suppose X1,X2,…,Xn represent the outcomes of n independent Bernoulli trials, each with success probability p. Note that we can write the Bernoulli distribution as: Suppose X1 2 X, represent the outcomes of n independent Bernou i als, each with success probabil ,p. Note that we can writ e the Bernoulǐ distribution as 0,1 otherwise Given the Bernoulli distributional family and the iid sample of X,'s, the likelihood function is: -1 a. Find an expression for p, the MLE of p...
Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Upper H 0 : p equals 0.84 versus Upper H 1 : p not equals 0.84 n equals 500 comma x equals 410 comma alpha equals 0.05 n=500, x=410, α=0.05 Is np 0 left parenthesis 1 minus p 0 right parenthesis greater than or equals 10np01−p0≥10? Select the correct choice below and fill in the answer box to complete your choice. (Type an integer...