Recall that a relative frequency histogram is used to graph quantitative data. Classes are chosen to divide the range of values into equal-length subintervals, then plott along the horizontal axis. A bar is drawn for each class with height equal to the relative frequency for that class. To create a relative frequency histogram, first summarize the following data in a frequency table. 1 2 3 4 5 6 7 8 Class Class Boundaries 9 1.3 10 14.7 11 14.9 4.4 2.7 32.3 10.9 9.0 1.6 9.0 16.7 7.4 4.1 18.4 0.2 6.1 13.5 1.0 2.4 Since the measurements are all between the values 0 and 33, it will be convenient to choose 11 class intervals of length 3. Using the given data, tally the values within each class interval to determine the frequency of each class, and fill in the following table. 0 to <3 3 to < 6 3.5 11.2 18.0 26.7 3.7 6 to < 9 9 to 12 12 to 15 15 to 18 18 to 21 21 to 24 24 to 27 27 to < 30 30 to < 33 1 1 2.4 2 1 10 8.2 19.2 Frequency 5 1 18.0 4 1 X x X ✓ 2.0 6.6 3.9 1.6 x 5.9 4.3 3.3 1.2 9.4 0.2 8.7 24.0 8.3 0.3 1.3 1.4 8.2 5.8 12.6 23.1 5.6 0.2
Recall that a relative frequency histogram is used to graph quantitative data. Classes are chosen to divide the range of values into equal-length subintervals, then plott along the horizontal axis. A bar is drawn for each class with height equal to the relative frequency for that class. To create a relative frequency histogram, first summarize the following data in a frequency table. 1 2 3 4 5 6 7 8 Class Class Boundaries 9 1.3 10 14.7 11 14.9 4.4 2.7 32.3 10.9 9.0 1.6 9.0 16.7 7.4 4.1 18.4 0.2 6.1 13.5 1.0 2.4 Since the measurements are all between the values 0 and 33, it will be convenient to choose 11 class intervals of length 3. Using the given data, tally the values within each class interval to determine the frequency of each class, and fill in the following table. 0 to <3 3 to < 6 3.5 11.2 18.0 26.7 3.7 6 to < 9 9 to 12 12 to 15 15 to 18 18 to 21 21 to 24 24 to 27 27 to < 30 30 to < 33 1 1 2.4 2 1 10 8.2 19.2 Frequency 5 1 18.0 4 1 X x X ✓ 2.0 6.6 3.9 1.6 x 5.9 4.3 3.3 1.2 9.4 0.2 8.7 24.0 8.3 0.3 1.3 1.4 8.2 5.8 12.6 23.1 5.6 0.2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Recall that a relative frequency histogram is used to graph quantitative data. Classes are chosen to divide the range of values into equal-length subintervals, then plotted
along the horizontal axis. A bar is drawn for each class with height equal to the relative frequency for that class.
To create a relative frequency histogram, first summarize the following data in a frequency table.
1
N
2
3
4
5
6
7
Class Class Boundaries
8
9
1.3
10
11
14.7 9.0 16.7
4.1
14.9
4.4 2.7 32.3 10.9 9.0
9.0
1.6
18.4
1.0 2.4 2.4 18.0
Since the measurements are all between the values 0 and 33, it will be convenient to choose 11 class intervals of length 3. Using the given data, tally the values within
each class interval to determine the frequency of each class, and fill in the following table.
0 to <3
3.5 11.2 18.0 26.7 3.7
3 to 6
6 to 9
9 to 12
12 to < 15
15 to 18
18 to 21
21 to 24
24 to 27
0.2 6.1 13.5
27 to < 30
30 to 33
7.4 8.2 19.2
1
1
2
1
Frequency
10
5
1
4
1
X
X
9.4
X
8.7
X
2.0 6.6 3.9
5.9 4.3 3.3
0.2
24.0
1.6
1.2
8.3 0.3 1.3
1.4 8.2 5.8
12.6 23.1 5.6 0.2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F254ccfd8-38f8-4c8d-b69c-1f4a5fc24a21%2Fb3f28224-8544-4841-bd7d-e8bc57272e8a%2F73g91aj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Recall that a relative frequency histogram is used to graph quantitative data. Classes are chosen to divide the range of values into equal-length subintervals, then plotted
along the horizontal axis. A bar is drawn for each class with height equal to the relative frequency for that class.
To create a relative frequency histogram, first summarize the following data in a frequency table.
1
N
2
3
4
5
6
7
Class Class Boundaries
8
9
1.3
10
11
14.7 9.0 16.7
4.1
14.9
4.4 2.7 32.3 10.9 9.0
9.0
1.6
18.4
1.0 2.4 2.4 18.0
Since the measurements are all between the values 0 and 33, it will be convenient to choose 11 class intervals of length 3. Using the given data, tally the values within
each class interval to determine the frequency of each class, and fill in the following table.
0 to <3
3.5 11.2 18.0 26.7 3.7
3 to 6
6 to 9
9 to 12
12 to < 15
15 to 18
18 to 21
21 to 24
24 to 27
0.2 6.1 13.5
27 to < 30
30 to 33
7.4 8.2 19.2
1
1
2
1
Frequency
10
5
1
4
1
X
X
9.4
X
8.7
X
2.0 6.6 3.9
5.9 4.3 3.3
0.2
24.0
1.6
1.2
8.3 0.3 1.3
1.4 8.2 5.8
12.6 23.1 5.6 0.2
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