A. Skewed
B. Flatness
C. Normal
D. Moment
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. - Which of the following parameter control the relative flatness of normal distribution?
A. None
B. Mode
C. Standard Deviation
D. Mean - 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 - Normal distribution is a probability distribution of _____ random variable?
A. Continuous
B. Constant
C. Discrete
D. Normal - Normal distribution is the distribution of _______________?
A. Discrete r.v.
B. Continuous r.v.
C. Qualitative variable
D. Quantitative variable - Normal distribution is _____ distribution?
A. Symmetrical
B. non-symmetrical
C. + vely skewed
D. -vely skewed - If a distribution is abnormally tall and peaked, then is can be said that the distribution is_____________?
A. Leptokurtic
B. Pyrokurtic
C. Platykurtic
D. Mesokurtic - A sampling distribution is the probability distribution for which one of the following___________?
A. A sample
B. A sample statistic
C. A population
D. A population parameter - 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
