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 STA301 Quiz Statistics [1]

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PostSubject: STA301 Quiz Statistics [1]   Fri Jul 08, 2011 10:31 pm

STA301 Quiz Statistics

Question # 1
If p is very small and n is considerably large then we shall apply the:
Select correct option:
Binomial distribution
Hypergeometric distribution
Poisson distribution
Exponential distribution



Question # 2
Which of the following is NOT applicable to a Poisson distribution?
Select correct option:
IF P = 0.5 & n = 19
IF P = 0.01 & n = 200
IF P = 0.02 & n = 300
IF P = 0.03 & n = 500



Question # 3
The normal distribution has points of infection which are equidistance from the:
Select correct option:
Median
Mean
Mode
Mean,Median & Mode



Question # 4
The distribution function (df) is also known as
Select correct option:
Probability distribution
Probability mass function
Probability density function
Cumulative distribution function



Question # 5
Suppose 60% of a herd of cattle is infected with a particular disease. Let Y = the number of non-diseased cattle in a sample of size 5. the distribution of Y is:
Select correct option:
Binomial with n = 5 and p = 0.6
Binomial with n = 5 and p = 0.4
Binomial with n = 5 and p = 0.5
Poisson with u = .6




Question # 6
If a random variable X denotes the number of heads when we toss a fair coin 5 times, the X assumed the values:
Select correct option:
0,1,2,3
1, 2,3,4,5
0, 1, 2,3,4,5
1, 5, 5



Question # 7
If c is a constant, then E(c) = ___
Select correct option:
0
1
c
-c



Question # 8
As a rule of thumb, when n>=30, then we can assume that………is normally distributed:
Select correct option:
Probability distribution
Sampling distribution
Binomial distribution
Sampling distribution of sample mean



Question # 9
If b(x, 7, 0.30), the variance of this distribution is:
Select correct option:
1.77
1.74
1.44
1.47



Question # 10
Which of the following is a characteristic of a binomial probability experiment?
Select correct option:
Each trial has more than two possible outcomes
P(success) = P(failure)
Probability of success changes for each trail
The result of one trial does not affect the probability of success on any other trial

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