Statistics / Mr. Hansen
9/30/2004

Name: _________________________

Test on Chapters 1 and 2, First Portion

Time limit: 40 minutes (60 minutes for extended-time students). No calculator allowed.

 

Part I: Terminology (4 pts. each)

Write the name and the proper Greek or Roman symbol or abbreviation for each of the following. The first one (#1) does not count for credit but has been done for you as an example.

 

 

 

Name

Standard Abbrev.

1.

Number of subjects in the entire population

Population size

N

 

 

2.

Number of subjects in a sample (i.e., the group that was actually polled or tested, as opposed to the entire population)

_____________
_____________
(2 words)

_____________

 

 

 

 

3.

The mean squared deviation from the mean, in an entire population (serves as a measure of dispersion)

_____________
_____________
(2 words)

_____________

 

 

 

 

4.

Square root of #3; also measures dispersion in a population, but has the advantage of being in the same units as the underlying data, instead of “square units”; used as one of the two parameters of a normal distribution; equals 1 for the standard normal distribution

_____________
_____________
_____________
(3 words)

_____________

 

 

 

 

5.

Same as #4, except for a sample

_____________
_____________
_____________
(3 words)

_____________

 

 

 

 

6.

Q3 – Q1

_____________
_____________
(2 or 3 words, depending on whether you split the first one)

_____________

 

 

 

 

7.

Arithmetic “average” (i.e., sum of observations divided by their count) in a sample

_____________
_____________
(2 words)

_____________

 


Part II: Essay (8 pts.)

Write complete sentences. Spelling, grammar, and punctuation count.

 

8.

Describe how to determine whether an observation in a data set is an outlier, using the standard rule of thumb that we learned. Although you may use a specific data set as an illustrative example, that is not required. What is required is that your instructions are clear, complete, and general. In other words, they must apply to all possible situations. You may assume that your reader already knows standard statistics terminology (mean, mode, median, percentile, quartile, etc.).

This essay can be answered for full credit in about 2 or 3 sentences. However, I am providing you with a full page so that you do not feel pinched or constrained in any way.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

[Remainder of test was taken from another source.]