Use the actual number of items to calculate the absolute guessing error of each guess, or how far the guess is from the actual number. For example, suppose the actual number of objects is 100.
If a guess is 75, then the absolute guessing error is 25.
If a guess is 110, then the absolute guessing error is 10.
Record the absolute guessing error of at least 12 guesses in Table A of the handout (or elsewhere, as directed by your teacher).
13.2
Activity
Refer to the table you completed in the Warm-up, which shows your class' guesses and absolute guessing errors.
Plot at least 12 pairs of values from your table on the coordinate plane on the handout (or elsewhere, as directed by your teacher).
Write down 1–2 observations about the completed scatter plot.
Is the absolute guessing error a function of the guess? Explain how you know.
13.3
Activity
Earlier, you guessed the number of objects in a container and then your teacher told you the actual number.
Suppose your teacher made a mistake about the number of objects in the jar and would like to correct it. The actual number of objects in the jar is .
Find the new absolute guessing errors based on this new information. Record the errors in Table B of the handout (or elsewhere, as directed by your teacher).
Make 1–2 observations about the new set of absolute guessing errors.
Predict how the scatter plot would change given the new actual number of objects. (Would it have the same shape as in the first scatter plot? If so, what would be different about it? If not, what would it look like?)
Use technology to plot the points and test your prediction.
Can you write a rule for finding the output (absolute guessing error) given the input (a guess)?
Student Lesson Summary
Have you played a number guessing game in which the guess that is closest to a target number wins?
In such a game, it doesn’t matter if the guess is above or below the target number. What matters is how far off the guess is from the target number, or the absolute guessing error. The smaller the absolute guessing error, or the closer it is to 0, the better.
Suppose eight people made these guesses for the number of pretzels in a jar: 14, 15, 19, 21, 23, 24, 26, and 28. If the actual number of pretzels is 22, the absolute guessing error of each number is as shown in the table.
guess
14
15
19
21
23
24
26
28
absolute guessing error
8
7
3
1
1
2
4
6
In this case, 21 and 23 are both winning guesses. Even though one number is an underestimate and the other an overestimate, 21 and 23 are both 1 away from 22. Of all the absolute guessing errors, 1 is the smallest.
If we plot the guesses and the guessing errors on a coordinate plane, the points would form a V shape. Notice that the V shape is above the horizontal axis, suggesting that all the vertical values are positive.
horizontal axis, guess. scale 0 to 32, by 4's. vertical axis, absolute guessing error. scale 0 to 12, by 2's. Points plotted at 14 comma 8, 15 comma 7, 19 comma 3, 21 comma 1, 23 comma 1, 24 comma 2, 26 comma 4, 28 comma 6.
Suppose the actual number of pretzels is 19. The absolute guessing errors of the same eight guesses are shown in this table.
guess
14
15
19
21
23
24
26
28
absolute guessing error
5
4
0
2
4
5
7
9
Notice that all the errors are still nonnegative. If we plot these points on a coordinate plane, they are also on or above the horizontal line and form a V shape.
horizontal axis, guess. scale 0 to 32, by 4's. vertical axis, absolute guessing error. scale 0 to 12, by 2's. Points plotted at 14 comma 5, 15 comma 4, 19 comma 0, 21 comma 2, 23 comma 4, 24 comma 5, 26 comma 7, 28 comma 9.
Why does the relationship between guesses and absolute guessing errors always have this kind of graph? We will explore more in the next lesson!
