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27 Cards in this Set

  • Front
  • Back
frequency distrubtion
the number of x in each category of analyzed data
proportion
f=#of cases in a category and n=total # of cases
f/n (f divided by n)
percentage
100*proportion
ratio
f subset 1=frequency in any category
f subset 2=frequency in any other category
f subset 1 over f subset 2
rate
1000 (usually) times actual cases over potential cases
rate of change
100 (time 2-time1 divided by time 1)
grouped frequency distrubution
condensing scores into smaller categories or groups
upper limit
the highest real number in a category
lower limit
the lowest real number in a category
apparent real number
the lowest and highest whole number in a category
real number
the lowest and highest number rounded to .5 in a category
midpoint
the middlemost score value in the class interval
lowest score value + highest score value divided by 2
cumalitive frequencies
cf
the total number of cases having any given score or a score that is lower
cumalitve percentage
c%
the percentage of cases having any score or a score that is lower
(100) cf divided by n
percentile ranks
c% + [(x-l) divided by i] x % of value
x-value given
l-lower limit of set critical iinterval
i-class interval width
%-% of scores that fall n critical interval
cross tabulation
a table that presents the distribution of one variable across the categories of one or more additional variables
calculating cross tabulation scores
add the frequencies from both categories of the columns (second categorization) to get n
row marginals
from cross tabulation tables the rows on the margins
the percentages/frequincies from the columns (second categorization
bar graph vs. histogram
bar graphs are typically used to dislpay the frequency/percentage distribution of a discrete variable, but histograms display continous measures especially at the interval level
and may be connected from
frequency polygon
tends to stress continuity along a scale
useful for ordinal and interval data
may be connected by a straight line from point to point
kurtosis
peakedness
leptokurtic
the peak
platykurtic
flat peaks
mesokurtic
not really tall or really flat peak
negatively skewed
skewed to the left
tail on the left is much longer than tail on the right
positively skewed
skewed to the right
tail on the right much longer than the right
symmmetrical skew
tails on the left and the right the same or very close