Using the mean concept, it is found that:
1. The mean change in the forecasted high temperatures is of -0.33ºC.
2. The mean change in the forecasted low temperatures is of 0.5ºC.
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The mean of data-set is given by the <u>sum of all observations divided by the number of observations.</u>
Item 1:
The changes in the high temperature are: 2, 1, -1, -1, -1, -2
Thus:
![M = \frac{2 + 1 - 1 - 1 - 1 - 2}{6} = -0.33](https://tex.z-dn.net/?f=M%20%3D%20%5Cfrac%7B2%20%2B%201%20-%201%20-%201%20-%201%20-%202%7D%7B6%7D%20%3D%20-0.33)
The mean change in the forecasted high temperatures is of -0.33ºC.
Item 2:
The changes in the low temperature are: 2, -2, 2, 1, 0, 0.
![M = \frac{2 - 2 + 2 + 1 + 0 + 0}{6} = 0.5](https://tex.z-dn.net/?f=M%20%3D%20%5Cfrac%7B2%20-%202%20%2B%202%20%2B%201%20%2B%200%20%2B%200%7D%7B6%7D%20%3D%200.5)
The mean change in the forecasted low temperatures is of 0.5ºC.
A similar problem is given at brainly.com/question/24754716