**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