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Car B can travel farther than Car A after the battery is fully charged.

Car B performs more consistently as evidenced by the smaller measures of variability.

Step-by-step explanation:

Well, to compare the travel distance we should just look at the measures of avg or median distance traveled - and Car B wins in both categories by a large enough margin to decide that the chance of it being sample error is negligible.

To compare the stability - MAD and IQR describe the mean deviation from the mean and the range of the middle 50% of the data, respectively - the smaller those measures, the stabler the sample was. So Car B's travel distance was more stable during the tests, as both measures are smaller.

One note here: the answer in the problem says "car B is more stable, because it has smaller variability measures". This is BACKWARDS. Car B has smaller variability measures BECAUSE IT IS MORE STABLE. Think of a test for the flu. You test positive - do you have the flu because you've tested positive or did you test positive because you have the flu? Obviously option 2. But you KNOW you have the flu because you tested positive.

We can say that smaller variability measures are evidence of higher stability.

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a variable is any characteristics, number, or quantity that can be measured or counted. a variable may also be called a data item. hope i !