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The concept of frequency distributions, focusing on class intervals, midpoints, and constructing tables using an example of exam scores. It also introduces the concept of relative frequencies and normal distributions.
What you will learn
Typology: Slides
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A Frequency Distribution (or table) list data values along with the number of scores that fall into each category.
Height of Women (in.) f 55 – 59 60 – 64 65 – 69 70 – 74 75 – 79
**labels and units are necessary
Lower class limits are the smallest numbers that belong to each class.
LCL’s: 55, 60, 65, 70, 75
Upper class limits are the largest numbers that belong to each class.
UCL’s: 59, 64, 69, 74, 79
Class boundaries are the numbers used to separate each class
of each gap.
Include the boundaries for the first LCL and the last UCL.
59 60
2
= , etc.
The class boundaries are: 54,5, 59.5, 64.5, 69.5, 74.5, 79.
Class width is the difference between two consecutive lower (or upper) class lmits.
Class width = 60 – 55 = 5
Class midpoints are the middle numbers of each class.
= , etc
The class midpoints are: 57, 62, 67, 72, 77
classes
Constructing a frequency table:
, round to get a “nice” number.
Example: The following are exam scores from 32 students.
80 89 72 92 98 71 68 74 85 89 71 93 67 72 70 89 82 71 74 86 68 95 89 77 72 95 88 82 71 92 52 71
Construct a frequency table using 5 classes. The class width is (98 – 52)/5 = 9.2, we will use 10 and start with 50.
Exam Scores tally f 50 – 59 60 – 69 70 – 79 80 – 89 90 – 99
A Relative Frequency Distribution has the same class limits as the frequency distribution but instead of listing frequencies list relative frequencies.
class frequency relative frequency = sum of all frequencies (n)
f rf n
= (can be written as a percent)
Round to 4 decimal places or if in percent form round to 2 decimal places
Exam Scores rf 50 – 59 60 – 69 70 – 79 80 – 89 90 – 99
classes
classes