COMMENTARY
FIGURE 1
OBJECT IN MOTION
If Bert and Ernie were pushing a box at the same time, how could you tell who was pushing harder? If they were on adjacent sides of the box, as shown in the middle example, it would be easy to tell how hard each one was pushing. (Graphic by USAASC)
FIGURE 2
REDUCING UNCERTAINTY
The plot on the left shows the results of a well-designed experiment. In the example on the right, the two results have considerable uncertainty. While the squares are in similar places in both examples, the possible range is much larger on the right. These ranges represent the uncertainty about how far Bert and Ernie push the box on average. (Graphic by USAASC)
To see the consequences of incorrectly changing the test, it is useful to look at the results of data analysis. Often the most informative way to analyze data is with some kind of statistical analysis. Regression analysis of the Bert and Ernie experiment created the two plots in Figure 2.
The plots show the results of analysis for two exper- iments. The plot on the left is from analysis of a well-designed experiment and on the right from a poorly designed experiment. The black dots represent the esti- mated or most likely value of the average distance that Bert and Ernie push the box. Notice that the black dots
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