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Why​ shouldn't classes overlap when summarizing continuous data in a frequency or relative frequency​ distribution? Choose the correct answer below. A. Classes​ shouldn't overlap so that the distribution is not skewed in one direction. B. Classes​ shouldn't overlap so that the class width is as small as possible. C. Classes​ shouldn't overlap so there is no confusion as to which class an observation belongs. D. Classes​ shouldn't overlap so that they are open ended.

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OGEGA98

Answer:

C. Classes​ shouldn't overlap so there is no confusion as to which class an observation belongs.

Explanation:

  • When summarizing data that is continuous in a frequency or relative frequency distribution, the classes should be accurately entered to avoid overlapping.
  • This is because overlapping causes confusion between classes and observations.
  • Consequently leading to wrong results from the data.