Determine whether each statement is true or false. If the statement is false, explain why. 1. In the construction of a frequency distribution, it is not a good idea to have overlapping class limits, such as 10 - 20, 20 - 30, 30 – 40, etc. 2. Histograms can be drawn by using vertical or horizontal bars. 3. In construction of a frequency polygon, the class limits are used for the x-axis.
Determine whether each statement is true or false. If the statement is false, explain why. 1. In the construction of a frequency distribution, it is not a good idea to have overlapping class limits, such as 10 - 20, 20 - 30, 30 – 40, etc. 2. Histograms can be drawn by using vertical or horizontal bars. 3. In construction of a frequency polygon, the class limits are used for the x-axis.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Determine whether each statement is true or false. If the
statement is false, explain why.
1. In the construction of a frequency distribution, it is not a
good idea to have overlapping class limits, such as 10 - 20,
20 – 30, 30 – 40, etc.
2. Histograms can be drawn by using vertical or horizontal
bars.
3. In construction of a frequency polygon, the class limits are
used for the x-axis.
Select the best answer.
4. What is another name for the ogive?
a. Histogram
b. Cumulative frequency graph
c. Pareto chart
d. Frequency polygon
5. What graph should be used to show the relationship
between the parts and the whole?
a. Ogive
b. Pareto chart
c. Pie graph
d. Histogram
Complete the statement with the best answer.
6. Data such as blood types (A, B, AB, O) can be organized
into a(n).
Answer the question.
7. When 30 randomly selected customers left a convenience
store, each was asked the number of items he or she
purchased. Construct an ungrouped frequency distribution
for the data.
frequency distribution.
10
5
4
6.
3
7
7
6.
4
9
7
6.
3
3
10
10
9.
10
4
3
2
8
5
8. Create a histogram for the data in #7.
9. Create a frequency polygon for the data in #7.
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