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The concept of frequency distribution and different types of graphs used to represent data. It covers categorical and grouped frequency distributions, class limits, boundaries, and midpoints. It also explains how to find the class width and frequency. examples to help understand the concepts better.
Typology: Schemes and Mind Maps
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Organizing Data Histograms, Frequency Polygons, and Ogives Other Types of Graphs Introduction
Two types of frequency distribution Categorical Frequency Distributions Grouped Frequency Distributions Used for data that can be placed in specific categories (nominal or ordinal level data). When the range of the data is large data is grouped into classes that are more than one unit in width
Grouped Frequency Distributions
Class limits Class boundaries Tally Frequency 24-30 23. 5 -30. 5 /// 3 31-37 30. 5 -37. 5 / 1 38-44 37. 5 -44. 5 //// 5 45-51 44. 5 -51. 5 //////// 9 52-58 51. 5 -58. 5 ///// 6 59-65 58. 5 -65. 5 / 1
First class second class Lower class Upper class
(^) The class width is found by subtracting the lower (or upper) class limit of one class from the lower (or upper) class limit of the next class. For example: Class limits Class boundaries 24 -30 23.5-30. 31 -37 30.5-37. (^) Class width=lower of second class limit-lower of first class limit (^) Class width=upper of first class boundary -lower of first class boundary class width : 31-24 = 7 class width class width
Rules for Classes in Grouped Frequency Distributions
Age 10- 20- 30- 40- 50- Age 10- 21- 32- 43- 54- Better way to construct a frequency distribution
Constructing a Grouped Frequency Distribution
Class Limits Class Boundaries Frequency Cumulative Frequency 100 - 104 105 - 109 110 - 114 115 - 119 120 - 124 125 - 129 130 - 134
Class Limits Class Boundaries Frequency Cumulative Frequency 12 13 14 15 16 17 18 19
Class Frequency 4-9 2 10-15 4 16-21 3 22-27 8 28-33 5