The mean of hypergeometric distribution is:___________________?

Related Mcqs:

1. The hypergeometric probability distribution is used rather than the binomial or Poisson when the sampling is performed ?

   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

2. Hypergeometric distribution has parameter:_____________________?

   A. 2
   B. 1
   C. 3
   D. 4
   E. No

3. In hypergeometric distribution, the trial are:_______________?

   A. Independent
   B. Dependent
   C. Collectively Exhaustive
   D. None

4. 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.

5. 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

6. 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

7. Random samples of size 17 are from a population that has 200 elements, a mean of 36, and a standard deviation of 8. which of the following best describes the from of the sampling distribution of the sample mean for this situation ?

   A. Approximately normal because the sample size is small relative to the population size
   B. Approximately normal because of the central limit theorem
   C. Exactly
   D. None of these alternatives is correct

8. The mean of a distribution is 23, the median is 24, and the mode is 25.5. It is most likely that this distribution is_____________?

   A. Positively Skewed
   B. Symmetrical
   C. Asymptotic
   D. Negatively Skewed

9. For a population with any distribution, the form of the sampling distribution of the sample mean is_____________?

   A. Sometimes normal for all sample sizes
   B. Sometimes normal for large sample sizes
   C. Always normal for all sample sizes
   D. Always normal for large sample sizes

10. condition for applying Central Limit Theorem (CLT) which approximate the sampling distribution of the mean with a normal distribution is ?

    A. n > 30
    B. N(1 – p) > 5
    C. 2 n 5
    E. N < 30