Shape of possion distribution depends upon?

Related Mcqs:

1. The shape of normal curve depends upon ?

   A. None
   B. Mean
   C. Quartile
   D. Standard Deviation
   E. Mean Deviation

2. The shape of normal distribution does depend upon _____ and variance?

   A. x
   B. S/σ2
   C. u
   D. 2 µ2

3. 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.

4. If p=0.6 and q=0.4 than shape of the binomial distribution?

   A. Positively skewed
   B. Negatively skewed 
   C. Symmetric
   D. Bell shaped

   Submitted by: Nimra Shaheen

5. If p=q than the shape of binomial distribution?

   A. Positively skewed
   B. Negative skwed
   C. Symmeteric 
   D. No shape

   Submitted by: Nimra Shaheen

6. The shape of the symmetrical distribution is _______?

   A. U- Shaped
   B. J- Shaped
   C. Bell- Shaped
   D. None of these

7. If the conditional distribution of X1,X2,…..Xn given S=s, does not depends on θ, for any value of S=s the statistics S=s(X1,X2,…..Xn) is called______________?

   A. Unbiased
   B. Sufficient
   C. Consistent
   D. Efficient

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. 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

10. 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.