If “X” is normally distribution with >µ= 8 and S.D. 4, then P(6≤X≤10) may be______________?

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. If x is 4 and the distribution is 2, 3, 4, 5, 6, the sum of squared deviations from the x will be______________?

   A. 8
   B. 10
   C. 6
   D. 12

3. N(µ, 2σ) means normally distribution with mean u and variance2σ then (3σ, 4) means _____________?

   A. 46
   B. 76
   C. 36
   D. 47

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

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

5. Every distribution tends to ____ distribution?

   A. Small
   B. ∞
   C. Large
   D. Finite

6. Normal distribution is the distribution of _______________?

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

7. Normal distribution is _____ distribution?

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

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.