The color that has the greatest difference between the theoretical and experimental probability is yellow.
<h3>Which color has the greatest difference?
</h3>
Theoretical probability of each color = number of color in each section / total number of sections
1/5 = 0.2
Experimental probability is based on the result of an experiment that has been carried out multiples times
Experimental probability
Experimental probability of choosing orange = 118 / 625 = 0.19
Difference = 0.2 - 0.19 = 0.01
Experimental probability of choosing purple = 137 / 625 = 0.22
Difference 0.22 - 0.2 = 0.02
Experimental probability of choosing brown = 122 / 625 = 0.20
0.2 - 0.2 = 0
Experimental probability of choosing yellow = 106 / 625 = 0.17
0.20 - 0.1696 = 0.0304
Experimental probability of choosing green = 142 / 625 = 0.23
0.2272 - 0.20 = 0.0272
To learn more about experimental probability, please check: brainly.com/question/23722574
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If you're looking for a fraction:
Think of it this way, the 9 is in the 10th place. The 6 is in front of the decimal. So, it's 69/10. The 10 takes the place of the 9, the "/" is the decimal moved to the right one space.
Or
If you're looking for a mixed number:
You basically split the above fraction "69/10" up into two separate pieces. So, it's
6 9/10.
The last table is linear (1/2, 1, 1.5, 2)
The solution to the system of equation is (1, 4).
In order to find this, we can first just see where the graphs intersect each other. This will give us the solution set.
As for what it represents, the x value in the increase in temperature and the y value is the increase in customers.
Therefore, we know that we want the temperature to go up by 1 (although we don't know the units) and that would result in the amount of people coming, and staying longer by 4 (again, we don't know the units of measure).