Chapter 3: Frequency Distributions Flashcards
Frequency Distribution of group scores?
listing of scores into class intervals..
Frequency Distributions?
listing of score values and their frequency of occurrence..
listed low to high
symbol = f
Steps to making a frequency Distribution?
find range decide class interval width (i) list the limits of each class interval tally raw scores add up tallies for interval frequency
Range =?
highest score - lowest score…
Formula for class interval width? (i)
i= range/ number of class intervals
Limits of each class interval…the lowest limit must be evenly divisible by….?
i
Relative Frequency?
formul?
proportion of total number of scores that occur in each interval..
Relative f = f/N will = 1
Cumulative Frequency?
formula?
number of scores that fall below the URL of each interval..
ex: looking at x3?
cum f = x3+x4+x5…….XN
Cumulative Percentage?
percentage of scores that fall below URL of each interval…
Cum%= (cumf/n)100
Percentile Point??
Formula??
P75?
value on a measurement scale below which a specified % of scores in the distribution fall.... Fn/Fi= DD/i Fn= frequencies needed Fi= frequency of interval DD= desired distance i= interval width P75= value below which 75% points fall
P50….
P50 = N(.5)
Lower cumf————-Fi—————upper cum f
FN= N(.5)- lower cumf LRL--------------------------?---------------------URL
————————i——————————
solve for DD…
Percentile point = LRL + DD
Percentile Rank?
percentage of scores with values lower than the score in question?
Percentages of scores that fall below a specific raw score..
% rank= (Cum Fl + Fn/n)100
Percentile rank of score 55
Lower cumf———————fi———– upper cumf
——–DD——
LRL——————-55——————–URL
——————–i———————
solve for Fn
than solve
Graphs allow?
allow you to see certain characteristics of your data…you cannot simply see by looking at data..
Properties of a graph?
x, y
x axis: data values (horizontal or abscissa)
y= frequency (vertical or ordinate )
y axis should be about 75 percent shorter than the x
Bar Graph?
used for nominal or ordinal data…..
bars= freq per category ….
spaces in between them…
Histograph?
interval or ratio data... bars= class intervals.........starting at LRL and URL...point marked is the Midpoint.... URL-LRL....divided by two...LRL + numb.. intervals are continuous no spaces... very common graph
Frequency Polygon?
interval or ratio data point at each class interval midpoint is calculated not LRL and URL.. meets x axis below and above class intervals.. no diff between histogram and this...
Cumulative % curve
interval or ratio data plot the URL of each class interval (x axis) y-axis = cum % visually see percentile points and ranks..
Shapes of Frequency Curves..?
Bell curve: normal distribution…..most in the middle…less on lower and upper extremes..
Rectangular or Uniform Distribution: worst one…data is all kind of the same…avg…
U-shaped distribition (or inverted): can have two normal distributions if extended… High concentration on either side…middle is lower..
above are all SYMMETRICAL..
Negative skewed … to the right..extremes..
positive skewed:……to the left…extremes..
(layed down p)
J curve: Very extreme…. on one side…
Exploratory Data Analysis?
Stem and Leaf?
useful for small data sets... x<100 keeps all original data.. most common alt to histogram... 5 I 8 stem leaf