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For calculating the mode of the grouped data graphically, the following procedure is adopted.
Draw a histogram of the data; the modal class is the tallest rectangle.
Draw a line from the top right corner of the tallest rectangle to the top right corner of the preceding rectangle.
Draw a line from the top left corner of the tallest rectangle to the top left corner of the succeeding rectangle.
Draw a line perpendicular to the X-axis from the point of intersection of lines drawn in steps 2 and 3. The point of intersection of the perpendicular line with the X-axis represents the mode.
Example
Let us calculate the Mode using the graphical method for the following distributions:
Gross profits as percentage of sales
0-7
7-14
14-21
21-28
28-35
36-42
42-49
Number of companies
19
25
36
72
51
43
28
Using the procedure described above, we draw the histogram and other lines for the calculation of mode. The mode is 25.
Circles or Pie Diagram: Circles or pie diagrams are alternative to squares. These are used for the same purpose i.e. when the values are differing widely in their magnitude
Grid is the set of pairs {1, 2, 3, 4} x {1, 2, 3, 4}. Image is the power set of Grid. An element of Image is a subset of Grid and can be represented by a diagram on a 4 by 4
This box plot displays the diversity wfood; the data ranges from 0.05710 being the minimum value and 0.78900 being the maximum value. The box plot is slightly positively skewed at
Two individuals, player 1 and player 2, are competing in an auction to obtain a valuable object. Each player bids in a sealed envelope, without knowing the bid of the other player
Scenario : Mrs dick's year 1s and 2s carried out a level-one science investigation to explain the changes in a particular plant over a period of time. As part of the investigation
how much that cost ?
how do i determine the 40th percentile in an ogive graph
Find unlabeled data set test.txt and initial centroids data set centroids.txt in the archive, both files have the following format: [attribute1_value attribute2_value ...
rules for constructing the diagrames
Perform clustering of the unlabeled data set. You could use provided initial centroids set or generate your own. Also there could be considered next stopping criteria : - maxim
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