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Probability Distributions
The binomial probability distribution is classified as skewed to left if
p > 0.5
q > 0.5
p < 0.5
q < 0.5
Author:
rikazzz
Comment
Probability Distributions
The value which is obtained by multiplying the possible values of random variable with the probability of occurrence and is equal to weighted average is called
discrete value
weighted value
expected value
cumulative value
Author:
rikazzz
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Probability Distributions
The formula to calculate standardized normal random variable is
x – μ ⁄ σ
x + μ ⁄ σ
x – σ ⁄ μ
x + σ ⁄ μ
Author:
rikazzz
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Probability Distributions
The 2600 applications for home mortgage are received by a bank and the probability of approval is 0.78 then the standard deviation of binomial probability distribution is
2028
546.16
446.16
646.16
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rikazzz
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Probability Distributions
The formula of calculating mean for the negative binomial probability distribution is
q ⁄ p
P ⁄ Q
p ⁄ r
r ⁄ p
Author:
rikazzz
Comment
Probability Distributions
The formula of mean of uniform or rectangular distribution is as
mean = 4(b + a) ⁄ 2b
mean = (b + a) ⁄ 2
mean = (b – 2a) ⁄ 4
mean = (2a + 2b) ⁄ 2a
Author:
rikazzz
Comment
Probability Distributions
In random experiment, the observations of random variable are classified as
events
composition
trials
functions
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rikazzz
Comment
Probability Distributions
If the value of success in binomial probability distribution is 0.40 and failure is 0.60 and the number of values in distribution are 5 then the moment coefficient of skewness is
0.467
0.167
0.267
0.367
Author:
rikazzz
Comment
Probability Distributions
The formula of calculating mean for hyper geometric probability distribution is
n (m ⁄ n)
m (n ⁄ n)
n (n ⁄ m)
n (m ⁄ n)
Author:
rikazzz
Comment
Probability Distributions
The value which is used to measure the distance between mean and random variable x in terms of standard deviation is called
z-value
variance
probability of x
density function of x
Author:
rikazzz
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