| 
   Statistics / Mr. Hansen  | 
  
   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.
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   Name  | 
  
   Standard Abbrev.  | 
 
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   1.  | 
  
   Number of subjects in the
  entire population  | 
  
   Population size  | 
  
   N  | 
 
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 ||
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   2.  | 
  
   Number of subjects in a
  sample (i.e., the group that was actually polled or tested, as opposed to the
  entire population)  | 
  
   _____________  | 
  
   _____________  | 
 
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   3.  | 
  
   The mean squared deviation
  from the mean, in an entire population
  (serves as a measure of dispersion)  | 
  
   _____________  | 
  
   _____________  | 
 
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   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  | 
  
   _____________  | 
  
   _____________  | 
 
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   | 
 
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   5.  | 
  
   Same as #4, except for a sample  | 
  
   _____________  | 
  
   _____________  | 
 
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   6.  | 
  
   Q3 – Q1  | 
  
   _____________  | 
  
   _____________  | 
 
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   7.  | 
  
   Arithmetic “average” (i.e.,
  sum of observations divided by their count) in a sample  | 
  
   _____________  | 
  
   _____________  | 
 
Part II: Essay (8
pts.)
Write complete sentences. Spelling, grammar, and punctuation count.
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   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.).  | 
 
[Remainder of test was taken from another source.]