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

Related Mcqs:

1. 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.

2. Normal distribution is a probability distribution of _____ random variable?

   A. Continuous
   B. Constant
   C. Discrete
   D. Normal

3. Normal distribution is _____ distribution?

   A. Symmetrical
   B. non-symmetrical
   C. + vely skewed
   D. -vely skewed

4. The shape of normal curve depends upon ?

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

5. Shape of possion distribution depends upon?

   A. On random variable X
   B. Its parameter
   C. Mean
   D. Variance

   Submitted by: Nimra Shaheen

6. In a certain normal distribution having µ = 35 and variance = 16, then mode will be_______________?

   A. 3.5
   B. 16
   C. 4
   D. None of these

7. Let X1,X2,…Xn be a random sample from the density f(x;(θ), where θ may be vector. If the conditional distribution of X1,X2,…Xn given S=s does not depend on θ for any value of s of S, then statistic is called?

   A. Minimal sufficient statistic
   B. Sufficient statistic
   C. Efficient
   D. Minimax statistics

8. Normal distribution is the distribution of _______________?

   A. Discrete r.v.
   B. Continuous r.v.
   C. Qualitative variable
   D. Quantitative variable

9. If n ≥ 30 and _____ then binomial approaches to normal distribution?

   A. q/p
   B. p = q
   C. pq
   D. p = n

10. 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