If in a binomial distribution n = 1 then E(X) is:____________________?

Related Mcqs:

1. 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

2. 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

3. If in binomial distribution p ≠ q, the distribution is:___________________?

   A. Positively skewed
   B. Negative skewed
   C. May be positive skewed or negative skewed.
   D. None of these

4. In a binomial distribution, n = 20 and p = 3/5, then variance of this distribution ______________?

   A. 60
   B. 12
   C. 4.8
   D. 0

5. For a binomial distribution with n = 15 as p changes from. 50 toward. 05 the distribution will__________?

   A. Become more positively skewed
   B. Become more negatively skewed
   C. Become symmetrical
   D. All of the above.

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. Binomial distribution is used when n is ____________________?

   A. Large
   B. Small
   C. Zero
   D. Normal

8. The mean of a binomial distribution is always:____________________?

   A. Equal to variance
   B. Less than variance
   C. Greater than varince
   D. None of these

9. 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.

10. Binomial distribution is negatively skewed when:__________________?

    A. p=0
    B. p>1/2
    C. p=1/2
    D. p=1/3