Which of the following is not a condition of the binomial distribution ?
A. Only 2 possible outcomes
B. Have constant probability
C. Must have at least 3 trials
D. Trials must be independent
A. Only 2 possible outcomes
B. Have constant probability
C. Must have at least 3 trials
D. Trials must be independent
A. It is a function of some other set of sufficient statistics.
B. It is a function of every other set of sufficient
C. It is a function of any sufficient statistics in the set.
D. It is not a function of every other set of sufficient statistics.
A. Ties within one sample may affect the decision
B. Ties always affect the decision
C. Ties never affect the decision
D. Ties between the two sample may affect the decision
A. Continuous variable
B. Discrete variable
C. Function
D. None of these
A. 40 and 60
B. 20 and 70
C. 20 and 30
D. 20 and 80
A. Population distribution is normal
B. μ1 = μx
C. Population distribution is uniform
D. σx = σx /√n
A. Not a function
B. A continuous variable
C. A function
D. None of these