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Probability Distributions
The binomial probability distribution is classified as symmetric if
value of p and q is equal
value of p is greater than q
value of p is smaller than q
all of above
Author:
rikazzz
Comment
Probability Distributions
If the rate of occurrences in Poisson probability distribution is smaller and the occurrences have large numbers then the distribution tends to be
negatively skewed and mesokurtic
positively skewed and mesokurtic
symmetrical and leptokurtic
symmetrical and mesokurtic
Author:
rikazzz
Comment
Probability Distributions
In binomial distribution, the formula of calculating standard deviation is
square root of p
square root of pq
square root of npq
square root of np
Author:
rikazzz
Comment
Probability Distributions
If the value of p is 0.60 and value of n is 3 whereas the random variable x is equal to 4 then the value of z-score of distribution is
1.59
2.59
2.68
0.59
Author:
rikazzz
Comment
Probability Distributions
Considering the normal distribution, the spread is decreased and the height of the curve is increased for the
larger value of standard deviation
smaller value of standard deviation
smaller value of variance
larger value of variance
Author:
rikazzz
Comment
Probability Distributions
If the number of trials are 8 and the probability of success are 0.65 then the mean of negative probability distribution is
8.65
12.31
5.2
7.35
Author:
rikazzz
Comment
Probability Distributions
In the normal distribution, the normal curve becomes more wider and more flatter because of
small value of variance
large value of variance
large value of standard deviation
small value of standard deviation
Author:
rikazzz
Comment
Probability Distributions
If the value of x is less than μ of standard normal probability distribution then the
z-statistic is negative
z-statistic is positive
f(x) will be even number
f(x) will be prime number
Author:
rikazzz
Comment
Probability Distributions
The number of products manufactured in a factory in a day are 3500 and the probability that some pieces are defected is 0.55 then the mean of binomial probability distribution is
1925
6364
63.64
3500
Author:
rikazzz
Comment
Probability Distributions
The formula of variance of uniform or rectangular distribution is as
(b – a)² ⁄ 6
(b + a)² ⁄ 12
(b – a)³ ⁄ 8
(b + a)² ⁄ 2
Author:
rikazzz
Comment
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