AP
  Physics                                                                              
  Brockport High School NY USA
  Science and
  Statistics                                                             
  Mr Keefer
  
  Introduction
          Statistics
  is the mathematics of collecting and analyzing data. 
  Statistical analysis allows scientists, engineers,
  psychologists, and other researchers to analyze and interpret
  their data objectively and therefore determine the
  reliability of the data collected. 
  This allows a researcher to decide if an experiment
  should be repeated or changed, or if a whole new approach
  should be taken with modifications to a theory. 
  Statistics also allows for the analysis of reliability
  in industrial equipment.
Statistical
  Terms
  mean
  - the average of all data collected.
  median
  - the middle measurement in a set of data.
  mode
  - the most frequently occurring measurement.
  range
  - the difference between the highest and lowest measurement.
  dispersion
  - a measure of "clustering@
  of data points around the center.
  1. 
  Mean deviation
  is the average deviation from the mean. 
  It is a weak indicator of dispersion and is seldom used
  in statistics.  It can be used to compare dispersion in two or
  more experiments.                       
  
  2.  Variance
  is the average sum of
  the squares of the deviations from the mean. 
  It is designated by the lower case Greek letter sigma, s2,
  and is used to calculate the more popular statistic called
  standard deviation.  To
  find s2,
  sum the squares of the deviations from the mean and divide by
  the total number of observations minus 1 (this procedure
  adjusts for bias and is called the degrees
  of freedom).
  3. 
  Standard
  Deviation (s)
  is a measure of dispersion about the mean that allows us to
  predict what percentage of data points should be expected at
  various deviations from the mean. 
  To find standard deviation, take the square root of the
  variance.  The
  typical dispersion pattern can be assumed as:
           
  68% of measurements fall within "1
  s
  of the mean
  95%
  fall within "2 s
  of the mean
  99.73%
  fall within "3 s
  of the mean
Example:
The following are
heights (in meters) of 11 students at Brockport High School: 
1.70     
1.85     
1.65     
1.60     
1.35     
1.55     
1.60     
1.40     
1.80     
1.75     
1.60
Find the mean.           
_________m
Find the range.          
_________m
Find the median.       
_________m
What is the mode?    
_________m
Calculate the variance (s2).  
[(1.70 - mean)2 + (1.85 - mean)2 +
...] / (11 -1)
Calculate the standard deviation (s)
by taking the square root of the variance.
Determine the range of
heights that will include 68% of all seniors, and 95% of all
seniors.  
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