A. With replacement
B. With out replacement from an infinite population
C. With out replacement from a finite population
D. With replacement from a finite population
Related Mcqs:
- If in a sampling distribution of X the sample size is 25, what assumption must hold for the sampling distribution of X to be normal ?
A. Population distribution is normal
B. μ1 = μx
C. Population distribution is uniform
D. σx = σx /√n - if in a binomial probability distribution mean and variance are 6 and 2.4 respectively, then the parameters of this distribution are:____________________?
A. n = 10, p = 6/10
B. n = 50, p = 6/50
C. n = 10, p = 3/5
D. n = 10, p = 2/5 - If mean of the binomial probability distribution is 4.8, then variance of this distribution is :_______________?
A. -2.3
B. 5.3
C. -4.8
D. 2.3 - A sampling distribution is the probability distribution for which one of the following___________?
A. A sample
B. A sample statistic
C. A population
D. A population parameter - In a Poisson probability distribution __________________?
A. The mean and variance of the distribution are same (equal)
B. The probability of success is always greater than 5
C. The number of trials is always less than 5
D. it always contains a contingency table - In probability sampling each sampling unit has some____________________?
A. Unknown
B. Large
C. Small
D. Know - If the sampled population has a normal distribution, when is the sampling distribution of the sample mean X also a normal distribution ?
A. Only when the sample size is at least 100.
B. Only when the sample size is smaller than 30
C. Always
D. Only when the sample size is at least 30. - If a Binomial experiment is repeated ‘N’ times then binomial frequency distribution is. _______________?
A. N.{nx}px qn-x
B. N p q
C. N.{n/x}px qn-x
D. N.{n/x}p qn-x - The mean of hypergeometric distribution is:___________________?
A. Nk/N
B. N-k/n
C. nN/k
D. n+k/N - In hypergeometric distribution, the trial are:_______________?
A. Independent
B. Dependent
C. Collectively Exhaustive
D. None