M2L4: Frequency Distribution Flashcards
With only a handful of scores, data are simply arranged from highest to lowest.
Ungrouped frequency distribution
This is a table that shows the scores in groups
Grouped frequency distribution
“a group of scores”
Class interval
“the end numbers of the class interval”
Class limit
the number of scores falling in each class interval
Class frequency
the difference between the upper limit of the class and the preceding class
Class size
Class size = Upper limit - lower limit
the midpoint of a class interval
Class mark
Class mark = (Upper limit + Lower limit) / 2
true class limits
Class boundaries
is defined as halfway between the lower-class limit of the class and the upper-class limit of the preceding class
Lower class boundary (LCB)
is defined as halfway between the upper-class limit of the class and the lower class limit of the succeeding in class
Upper-class boundary (UCB)
highest score - lowest score
Range
illustrate the processes of organizing and describing data
Frequency distribution
2 Methods of organizing data
1) Frequency distributions
2) Graphs
a table in which all of the scores
are listed along with the frequency with which each occurs.
Frequency distribution
The frequency distribution is a way of presenting data that makes the pattern of the data easier to see.
True
You can make the data set even easier to read by grouping the scores and creating a class interval frequency distribution.
True
individual scores are combined into
categories, or intervals, and then listed along with the frequency scores in each interval.
Class interval frequency
A rule of thumb when creating class intervals is to have between 10 and 20 categories (Hinkle, Wiersma, & Jurs, 1988).
True
A quick method of calculating what the width of the interval should be is to subtract the lowest score from the highest score and then divide the result by the number of intervals you want.
(Schweigert, 1994)
Upper limit - lower limit
Class size
(Upper limit + Lower limit) / 2
Class mark
used to show the distribution of a categorical
variables.
Bar charts
comparing levels of nominal variables
Vertical bar graphs
commonly used to compare levels of ordinal variables
Horizontal bar graphs
used to show what part of the whole each
level of category variable is
Pie charts
used to visualize the value of variables over
time
Line graphs
uses intervals of values and has no gap
between bars
Histogram
it uses the actual values of the quantitative variables
Stem plot or stem and leaf plot
