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Given U_i~χ_(ν_i)^2, (U_1/ν_1)/(U_2/ν_2 ) follows which distribution?
F_(ν_1,ν_2 ) F Probability Distribution with ν degree of freedom
Given T=Z/√(U/ν), Z~N(0,1) and U~χ_ν^2, T^2 follows an F-Distribution
F_(1,ν) F Probability Distribution with one degree of freedom in the numerator and ν in the denominator
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What is exponential distribution?
The exponential distribution is a continuous probability distribution with probability density definded by: f(x) = ke-kx for x ≥ 0 and f(x) = 0 otherwise.
What is marginal probability?
Suppose you have two random variables, X and Y and their joint probability distribution function is f(x, y) over some appropriate domain. Then the marginal probability distribution of X, is the integral or sum of f(x, y) calculated over all possible values of Y.
Is normal distribution also a probability distribution?
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
Is normal distribution a discrete probability?
No. Normal distribution is a continuous probability.
True or False A sampling distribution is a probability distribution for a statistic?
The statement is true that a sampling distribution is a probability distribution for a statistic.
What is exponential distribution?
The exponential distribution is a continuous probability distribution with probability density definded by: f(x) = ke-kx for x ≥ 0 and f(x) = 0 otherwise.
The F-distribution is symetrical around mean zero True or False?
The F-distribution is either zero or positive, so there are no negative values for F. This feature of the F-distribution is similar to the chi-square distribution. The F-distribution is skewed to the right. Thus this probability distribution is nonsymmetrical.
If two cards are randomly drawn from a standard deck without replacement what is the probability of getting a pair?
hypergeometric distribution f(k;N,n,m) = f(1;51,3,1) or binominal distribution f(k;n,p) = f(1;1,3/51) would result in same probability
What are the Similarities of discrete probability distribution and continuous probability distribution?
They are probability distributions!
What is marginal probability?
Suppose you have two random variables, X and Y and their joint probability distribution function is f(x, y) over some appropriate domain. Then the marginal probability distribution of X, is the integral or sum of f(x, y) calculated over all possible values of Y.
Is normal distribution also a probability distribution?
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
Is normal distribution a discrete probability?
No. Normal distribution is a continuous probability.
True or False A sampling distribution is a probability distribution for a statistic?
The statement is true that a sampling distribution is a probability distribution for a statistic.
What does the letter f mean in probability?
The answer depends on the context and also whether it is upper or lower case.f can refer tothe frequency of an outcome in repeated trials,the probability distribution function for a continuous variable.F can refer tothe cumulative distribution function for a continuous variable,Fisher's F-distribution which, in the form of Fisher's F-statistic is used for comparing variances.There are probably other meanings.
How to find Median of probability distribution?
how do i find the median of a continuous probability distribution
Why if a probability distribution curve is bell shaped why is this a normal distribution?
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
An Urn contains 5 white and 7 black balls five balls drawn at randoma Find the distribution function of the probability distribution of no of white balls?
with replacement: binominal distribution f(k;n,p) = f(0;5,5/12) without replacement: hypergeometric distribution f(k;N,m,n) = f(0;12,5,5)
