percent. vi. Construct a histogram that distributes the intervals along the horizontal scale (x-axis) and list the frequency of scores in each interval on the vertical scale vii. Construct an Ogive for this data. Grade 95 94

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
3:34
İ. Construct a simple frequency distribution for
grouped data; display your findings in a table
(number of intervals should be 5)
ii.
Add a column to your table with the cumulative
frequency (bottom up).
iii. Add a column to your table with the relative
frequency.
iv. Add a column to your table with the relative
percent.
v. Add a column to your table with the cumulative
percent.
vi. Construct a histogram that distributes the
intervals along the horizontal scale (x-axis) and list
the frequency of scores in each interval on the
vertical scale
vii. Construct an Ogive for this data.
Grade
95
94
65
77
69
45
54
88
75
39
15
56
63
93
84
70
63
52
79
81
87
69
99
48
65
83
44
5G 91
35
57
60
Transcribed Image Text:3:34 İ. Construct a simple frequency distribution for grouped data; display your findings in a table (number of intervals should be 5) ii. Add a column to your table with the cumulative frequency (bottom up). iii. Add a column to your table with the relative frequency. iv. Add a column to your table with the relative percent. v. Add a column to your table with the cumulative percent. vi. Construct a histogram that distributes the intervals along the horizontal scale (x-axis) and list the frequency of scores in each interval on the vertical scale vii. Construct an Ogive for this data. Grade 95 94 65 77 69 45 54 88 75 39 15 56 63 93 84 70 63 52 79 81 87 69 99 48 65 83 44 5G 91 35 57 60
Expert Solution
Step 1: Defining the terms for the generating the frequency distribution
  1. Cumulative Frequency:  The total frequency for values or categories in the data set shall be a cumulated frequency. This indicates the number of data points that are below or equal to a specific value or category.
  2. Relative Frequency: Relative frequency refers to the proportion of data points belonging to a particular category or class, in relation to the total number of data points. A fraction or decimal may be used to express it.
  3. Relative Percent:  The relative frequency of the percentage expressed as a percentage is Relative percent. This is a percentage of the data points in one category relative to the total, but can be used as an indicative value for easier comparison and interpretation.
  4. Cumulative Percent:  Cumulative percentages are similar in frequency to cumulative percentages, but expressed as percentage values. It's a graph of the total relative frequencies that are shown in percentages as you go over the data.
  5. Histogram:  A histogram is a graphic representation of how the data are distributed. It consists of bars where the height of each bar corresponds to the frequency or relative frequency of data points falling into a specific range or category. Histograms help to get a view of data distribution.
  6. Ogive:  A graph representing the cumulative frequency or cumulative percent as a function of the data values or categories is an ogive, also known as the cumulative frequency curve. This gives a visual indication of how data have been collected or distributed across the dataset.
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