Which of the following statement BEST describes statistics?
A) Statistics is a science that attempts to explain uncertainty.
B) The science of collecting, describing, and interpreting the data.
C) Statistics is the science of interpreting numbers and graphs.
D) No idea, statistics does not apply to me.
2.

A graduate student is interested in finding out the average dollar value of houses owned by the faculty members of your college.

Answer the following questions:

a. What is the population of the study?

b. What is a sample of the study?

c. What is the variable of the study?

d. What is the data of the study?
3.
Consider the following sample of 2, 3, 6, 7, and 8. Which of the following best represent the range, variance, and standard deviation?
A) Range 2, Variance 5, Standard deviation 1.45
B) Range 6, Variance 6.7, Standard deviation 2.58
C) Range 3.6, Variance 100, Standard deviation 145.8
D) None of the above.
4.

A sample has a mean of 120 and a standard deviation of 20.0. Find the value x that corresponds to each of these standard scores. Use the following formula: 

If z = (x – mean)/st.dev; then x = (z)(st.dev) + mean 

a. z = 0.0b 
b. z = 1.2c 
c. z = -1.4d 
d. z = 2.05
5.
Which of the following statements BEST describe random variable?b. c. d. e.
A) A random variable assumes a unique numerical value for each of the outcomes in the sample space of a probability experiment.
B) A random variable does not assume a unique numerical value for each of the outcomes in the sample space of a probability experiment.
C) It is called random because the value it assumes is the result of a chance, or random event.
D) Both A and C. 
E) None of the above.
6.

Percentage, proportion, or probability – identify which is illustrated by each of the following statements.
a. Two-third of the crowd had a clear view of the event.
b. Twenty percent of the voters were polled as they left the voting precinct.
c. The chance of a tornado during the day tomorrow is 0.2.
7.
Central limit theorem states:
A) The sampling distribution of sample means will more closely resemble the normal distribution as the sample size decreases.
B) The sampling distribution of sample means will more closely resemble the normal distribution as the sample size increases.
C) The sampling distribution of sample means will more closely resemble the normal distribution as the sample size remains constant.
D) All of the above.
E) None of the above.
8.
If a population has a standard deviation of 25 units, what is the standard error of the mean if the samples of size 16 are selected?
A) 5
B) 1
C) 3
D) 2
9.
In your own words define hypothesis, statistical hypothesis test, null hypothesis, and alternative hypothesis.
10.
When a medic at the scene of a serious accident inspects each victim, she administers the appropriate medical assistance to all victims, unless she is certain the victim is dead. Which of the following statement BEST describes the null and alternative hypothesis?
A)

Null hypothesis: The victim is alive

Alternative hypothesis: The victim is not alive

B)

Null hypothesis: The victim is not alive

Alternative hypothesis: The victim is alive

C)

Null hypothesis: The victim is probably alive but not sure

Alternative hypothesis: The victim is probably dead but not sure

D) None of the above.