Ch02 Frequency Distributions Flashcards
Skewed Distribution
scores tend to pile up toward one end of the scale and taper off gradually at the other end
positively skewed = most at front end
negatively skewed = most at back end
\+ = tail points to right - = tail points to left
Symmetrical Distributoon
symmetrically distributed graph
not much else to say at this point
Percentile (Rank)
percentage of individuals in the distribution with scores equal to or less than the particular value
Cumulative Frequency (CF)
number of individuals at or below a value
Cumulative Percentages
percentage of individuals who are located in and below each category
c% = ( cf / N ) * 100% where N = total #
Interpolation
if percentiles are upper real limits (and ranks are percentages) it is possible to determine some percentiles and percentile ranks from an FDT
(X=4, c%=95% -> 95th percentile = 4.5)
Grouped Frequency Distribution Table (FDT)
around 10 intervals (if more make class intervals)
width of interval is simple number
bottom score of an interval should be a multiple of its width (w = 5, bot. score = 10)
all intervals same width and covers range with no gaps
Frequency Distribution Graph
scores are on the X-axis and frequency is on the Y-axis
Histogram
for interval / ratio scores (no gaps)
bars extend to the real limits of the score, so all bars touch
Polygon
dot is placed above the midpoint of each score / class interval so height of dot = frequency
connect all dots
Bar Graph
for ordinal / nominal scales
there are gaps between bars