2, 10, 13, 14, 18, 23, 26, 27, 33, 39, 44, 45, 47, 53, 60, 61, 71, 72, 78, 86, 103, 103, 106, 114, 130, 133, 140, 144, 146, 160, 166, 166, 171, 177, 178, 221, 234, 249, 250, 266, 271, 272, 276, 281, 285, 291, 293, 324, 330, 333, 339, 360, 374, 390, 392, 397, 397, 406, 406, 412, 423, 439, 481, 491, 500, 504, 537, 551, 561, 574, 597, 620, 663, 738, 746, 765, 1072, 5868, 7729, 8316, 8592, 9418, 9737, 10516, 10967, 11388, 11653, 13371, 15288, 22000 create a frequency distribution table using this formula

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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2, 10, 13, 14, 18, 23, 26, 27, 33, 39, 44, 45, 47, 53, 60, 61, 71, 72, 78, 86, 103, 103, 106, 114, 130, 133, 140, 144, 146, 160, 166, 166, 171, 177, 178, 221, 234, 249, 250, 266, 271, 272, 276, 281, 285, 291, 293, 324, 330, 333, 339, 360, 374, 390, 392, 397, 397, 406, 406, 412, 423, 439, 481, 491, 500, 504, 537, 551, 561, 574, 597, 620, 663, 738, 746, 765, 1072, 5868, 7729, 8316, 8592, 9418, 9737, 10516, 10967, 11388, 11653, 13371, 15288, 22000 create a frequency distribution table using this formula
ADF
A Fina x
E ANN
2 UNI
E ADE X
E Con
A 13 x
A 030
B AD
A MID
A UN X
O Fina
TATS/Q3/ANNOATED.pdf
ol/SY%202021%20-%202022/SECOND%20SEM
A Read aloud
O Add text V Draw
9 High
B Page view
In the class 12-18, 12 is called the lower limit of the class, and 18 is called the upper limit of
the class.
Steps in Constructing a Quantitative Frequency Distribution Table
Step 1: Determine the range of the data. The range, R, is the difference between the highest
value and the smallest value in a set of data.
Range = Highest Value - Lowest Value
%3D
Step 2: Determine the minimum number of classes denoted by k. This is obtained by solving
the square root of the total number of frequency (N) in a set of data. The minimum number of
classes should be rounded up to the nearest whole number.
k = VN
Step 3: Determine the class size denoted by c. This is obtained by solving the quotient of the
range of the set of data and the minimum number of classes. Note that the class size should
have the same number of decimal places as the raw data.
R
C =
k
Step 4: Enumerate the classes. Use the lowest value as the first lower limit. Take note of the
class size as you create the other classes.
Step 5: Determine the frequency for each class.
33°C Haze
17
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f11
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prt sc
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5
6.
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Transcribed Image Text:ADF A Fina x E ANN 2 UNI E ADE X E Con A 13 x A 030 B AD A MID A UN X O Fina TATS/Q3/ANNOATED.pdf ol/SY%202021%20-%202022/SECOND%20SEM A Read aloud O Add text V Draw 9 High B Page view In the class 12-18, 12 is called the lower limit of the class, and 18 is called the upper limit of the class. Steps in Constructing a Quantitative Frequency Distribution Table Step 1: Determine the range of the data. The range, R, is the difference between the highest value and the smallest value in a set of data. Range = Highest Value - Lowest Value %3D Step 2: Determine the minimum number of classes denoted by k. This is obtained by solving the square root of the total number of frequency (N) in a set of data. The minimum number of classes should be rounded up to the nearest whole number. k = VN Step 3: Determine the class size denoted by c. This is obtained by solving the quotient of the range of the set of data and the minimum number of classes. Note that the class size should have the same number of decimal places as the raw data. R C = k Step 4: Enumerate the classes. Use the lowest value as the first lower limit. Take note of the class size as you create the other classes. Step 5: Determine the frequency for each class. 33°C Haze 17 19e no f11 f12/A prt sc inser 5 6. T. Y U P. K BNII 00 6
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