The accompanying histogram shows the voter turnout (as a percentage) of 211 towns in a certain region. Is this distribution close to normal? Should this variable have a normal distribution? Why or why not? Click the icon to view the histogram. The histogram is close to normal, since it is symmetric but not bell-shaped. This variable should have a normal distribution, since this variable can be expected to have many values near the maximum of the distribution and to be symmetric. Histogram Frequency 30- 25- 20- 15- 10- 5- ỏ Voter Turnout By Town 20 C 40 60 Voter turnout (%) 80 100 Q X

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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The accompanying histogram shows the voter turnout (as a percentage) of 211 towns in a certain region. Is this distribution close to normal? Should this variable have a normal distribution? Why or why not?
Click the icon to view the histogram.
The histogram is close to normal, since it is symmetric but not bell-shaped.
This variable should have a normal distribution, since this variable can be expected to have many values near the maximum of the distribution and to be symmetric.
Histogram
Frequency
30-
25-
20-
15-
10-
5-
-O
Voter Turnout By Town
20
40
60
Voter turnout (%)
80
100
X
Transcribed Image Text:The accompanying histogram shows the voter turnout (as a percentage) of 211 towns in a certain region. Is this distribution close to normal? Should this variable have a normal distribution? Why or why not? Click the icon to view the histogram. The histogram is close to normal, since it is symmetric but not bell-shaped. This variable should have a normal distribution, since this variable can be expected to have many values near the maximum of the distribution and to be symmetric. Histogram Frequency 30- 25- 20- 15- 10- 5- -O Voter Turnout By Town 20 40 60 Voter turnout (%) 80 100 X
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