A. Discrete r.v.
B. Continuous r.v.
C. Qualitative variable
D. Quantitative variable
Related Mcqs:
- 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. - Normal distribution is a probability distribution of _____ random variable?
A. Continuous
B. Constant
C. Discrete
D. Normal - Normal distribution is _____ distribution?
A. Symmetrical
B. non-symmetrical
C. + vely skewed
D. -vely skewed - If in a sampling distribution of X the sample size is 25, what assumption must hold for the sampling distribution of X to be normal ?
A. Population distribution is normal
B. μ1 = μx
C. Population distribution is uniform
D. σx = σx /√n - 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 - __________ of the distribution which is measured relative to the distribution known as Normal?
A. Skewed
B. Flatness
C. Normal
D. Moment - 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 - Every distribution tends to ____ distribution?
A. Small
B. ∞
C. Large
D. Finite - Normal distribution has ___________?
A. 1 parameter
B. 2 parameter
C. 3 parameter
D. 4 parameter - Mean deviation of Normal Distribution is_____________?
A. 45σ
B. 34σ
C. 78σ
D. 23σ
