A) binomial distribution since number of trials n = 100 is finite, probability of having a bug is constant and there are two outcomes of having a bug and not having a bug . Observation are independent.
B) Binomial distribution . ( Explanation same as above)
C) Hypergeometric distribution ( suppose there are N objects out of which G are termed as Success and now you draw a sample of n without replacement from N what is probability of g success in n ) N= 40, n= 3, G = 10. If sampling done with replacement it will be binomial.
D) geometric distribution ( occurrence of first success after series of failures)
E) Binomial distribution
F) Negative Binomial Distribution( there are X+ R trials, where X is number of failures and R is number of Success and last trial is success.) R =3 X= S-3
G) Hepergeometric distribution N=10 G= 4 n=2 ( if sampling is done without replacement)
Please state which of the following random variables are binomial, geometric, negative binomial, or hypergeometric a....
Determine which type of random variable the following examples are: (a) binomial, (b) hypergeometric, (c) geometric, or (c) Poisson. Then find the probability. I. Suppose that 30% of all drivers stop at an intersection having flashing red lights when no other cars are visible. Of 15 randomly selected drivers coming to an intersection under these conditions, let X denote the number of those who stop. Find P(X 6) and P(X 2 6).
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...
In-class worksheet - Binomial distribution Date: 1. Which of the following situations describe a Binomial random variable? (a) Let X be the number of tosses of a fair coin until you obtain a head. (b) The probability of a girl having black hair is 0.6. There are 6 girls altogether. Let X be the number of girls out of the 6 who have black hair. (c) Among 6 girls, there are two with black hair. You pick 4 girls at...
and Y ~ Geometric - 4 Let X ~ Geometric We assume that the random variables X and Y are statistically independent. Answer the following questions: a (3 marks) For all x E 10,1,2,...^, show that 2+1 P(X>x) P(x (3 = Similarly, for all y [0,1,2,...^, show that Show your working only for one of the two identities that are pre- sented above. Hint: You may use the following identity without proving it. For any non-negative integer (, we have:...
1. Suppose that random variables X and Y are independent and have the following properties: E(X) = 5, Var(X) = 2, E(Y ) = −2, E(Y 2) = 7. Compute the following. (a) E(X + Y ). (b) Var(2X − 3Y ) (c) E(X2 + 5) (d) The standard deviation of Y . 2. Consider the following data set: �x = {90, 88, 93, 87, 85, 95, 92} (a) Compute x¯. (b) Compute the standard deviation of this set. 3....
1. Many companies use a incoming shipments of parts, raw materials, and so on. In the electronics industry, component parts are commonly shipped from suppliers in large lots. Inspection of a sample of n components can be viewed as the n trials of a binomial experimem. The outcome for each component tested (trialD will be that the component is classified as good or defective defective components in the lot do not exceed 1 %. Suppose a random sample of fiver...