Why shouldn't classes overlap when summarizing continuous data in a frequency or relative frequency distribution?

Mathematics

1 answer:

hram777 [196]3 years ago

4 0

Answer:

Step-by-step explanation:

Why shouldn't classes overlap when one summarizes continuous data? If classes overlap, then some observations will be counted in more than one class. This means that certain observations will end up in more than one bar of a histogram, which will misrepresent the data!

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suter [353]

Answer: Choice A

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Explanation:

These terms are just things you memorize. A diagram of two examples is shown below. The example shows a non-rectangular parallelogram, but you could go with rectangles or squares if you wanted to.