9. Describe the key similarity between a binomial distribution and a hypergeometric distribution.a. both distributions involve a uniform probabilityb. both distributions involve counting successes in a given number of trialsc. both distributions involve independent trialsd. both distributions involve dependent trialsO v0 10:26SAMSUNG%675

We have to choose the key similarity between binomial distribution and hypergeometric distribution.…

Answered: 9. Describe the key similarity between…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Exercise 24 Let A and B be 2 events : P(A) : 1 and P(B') 1 Can A and B be mutually exclusive? Why?
1. Consider the following probability distribution for the continuous random variable, X. 1 حا 4 5 X a. Find P(2 < X<4) (4-2) 4-10.9= 0.5 b. Find P(4 < X <5) 50.25 6= 0.25 c. Find P(X<4) -3.0
6.50 Binomial needs fixed n For the binomial distribution, the number of trials n is a fixed number. Let X denote the number of girls in a randomly selected family in Canada that has three children. Let Y denote the number of girls in a randomly selected family in Canada (that is, the number of children could be any number). A binomial distribution approximates well the probability distribution for one of X and Y, but not for the other. a. Explain why b. Identify the case for which the binomial applies and identify n andp. m vori
3. The amount of time it takes a TELNOR cashier to serve customers in service by car is a normally distributed random variable, with mean 3.2 minutes and standard deviation 1.6 minutes. Given a random sample of 64 customers served in a day, find the probability that the average time spent serving these customers is: (a) less than 2.7 minutes b) more than 3.5 minutes c) at least 3.0 minutes, but less than 3.4 minutes.
.A contractor builds three-unit apartment with construction time follows a normal distribution. Suppose that µ=100 days and o=20 days and the contract called for completion in 125 days and late completion will incur a severe penalty fee. What is the probability of not incurring a penalty fee? * 0.8943 0.8525 0.9125 O 0.9343
Describe the key similarity between a binomial distribution and a hypergeometric distribution. a. both distributions involve a uniform probability b. both distributions involve counting successes in a given number of trials SAMSUNG & 96 5 6. 8 y
Which of the following distributions would be most likely to have a tail, and why? A. The GPAs of NMSU students, because some students have a 4.0. B. Class scores on a quiz, with 10 points possible, because the most common scores are 7, 8, and 9. C. The time it takes to install a new piece of computer software, because usually it’s quick, but occasionally it takes hours or even days. D. The amount of money you spend each month on food, because food prices change a little from day to day, and sometimes things are on sale.
6. Consider the following probability distribution of the discrete random variable x. X 14 28 42 56 P(x) 0.2 0.19 0.13 0.48 Find the mean, variance and standard deviation for the data.
Which of the following random variable follows a continuous distribution? A. The outcome of rolling a die. B. The outcome of flipping a coin C. Next year's demand which is assumed to have 5 possible outcomes. D. A person's hight.
Q. No.1 If X is the number of heads observed in flipping of coin three times. Find the distribution function or CDF of the X. Q. No.2 Find the probability function and probability distribution for the number of tails when four unbiased coins are tossed; and also construct a probability histogram. Q. No.3 An event has a probability p = 5/8. Find the complete binomial distribution %3D for n =6 trials. Q. No.4 If X is a Poisson random variable with parameter u = 3, find the probabilities for x = 0, 1, 2, 3, 4 or more.
8. Describes the probability of a particular outcome in a series of experiment where the outcome has two distinct possibilities, success or failure. A. Exponential distribution B. Normal distribution C. Probability distribution D. Binomial distribution

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