40. A discrete probability distribution is usually the result of a a count b. me

Question

40. A discrete probability distribution is usually the result of a a count b. measurement c. small sample d. small probability 41. What is an important similarity between the uniform and normal probability distributions? a. The mean, median and mode are all equal b. The mean and median are equal c. They are negatively skewed d. About 68% of all observations are within one standard deviation of the mean Two normal distributions are compared. One has a mean of 10 and a standard deviation of 10. The second normal distribution has a mean of 10 and a standard deviation of 2. Which of the following is true? a. the location of the distributions are different b. the distributions are from two different families c. the dispersions of the distributions are different d. the dispersions of the distributions are the same 42. 43. A random variable from an experiment where outcomes are normally distributed can have any value between -3 and +3 b. a. can have only a few discrete values can have a mean of 0 and a standard deviation of 1 c. d. can have no values Probabilities are important information when a. using inferential statistics. 44. b. applying descriptive statistics. c. predicting a future outcome. d. A and B e. A and C What is the only variable in the Poisson probability distribution? ?.u b. x c. e d. p 45. What must you know to develop a binomial probability distribution? a. probability of succes b. number of trials c. number of successes d. A and B only 46.

Explanation / Answer

40) option A

41) option B

42) option C is correct as std deviaiton are different

43)option C is correct

44) option E

45)

option B

46)option D

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