Question 1

A forecaster says there is a 30% chance of snow today. This is an example of subjective probability.

Question 1 options:

	True
	False

Question 2

A simple random sample assumes that each item or person in the population has an equal chance of being included.

Question 2 options:

	True
	False

Question 3

The Center Limit Theorem states that if the sample size "n" is sufficiently large, the sample distribution of the means will be approximately normal no matter whether the population is normally distributed, skewed, or uniform.

Question 3 options:

	True
	False

Question 4

Question 4 options:

	True
	False

Question 5

John threw a dart at the dart board. He got a bull's-eye 8 time out of 30. This is an example of classical probability.

Question 5 options:

	True
	False

Question 6

The area under the standard normal curve between z = -1.63 and z = 0.27 is 0.4449.

Question 6 options:

	True
	False

Question 7

The difference between a sample statistic and its corresponding population parameter is called sampling error.

Question 7 options:

	True
	False

Question 8

For a normal distribution, the area under the normal curve that lies within two standard deviations of the mean is about 95 %.

Question 8 options:

	True
	False

Question 9

A single die is rolled. The events "getting a number greater than 3" and "rolling an even number" would not be mutually exclusive.

Question 9 options:

	True
	False

Question 10 In a large metropolitan area, past records revealed that 30 percent of all the high school graduates go to college. From 20 graduates selected at random, the probability that exactly 8 will go to college is 11%. Hint: use binomial

Question 10 options:

	True
	False

Question 11

Using a Poisson distribution, find a probability, if the mean value = 0.5, then

P(x=2) = 0.0758.

Question 11 options:

	True
	False