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Robin’s scores: 99, 108, 102, 107, 119 Mean = 107; MAD = 5. 2 Evelyn’s scores: 125, 137, 138, 145, 145 Mean = 138; MAD = 5. 6 Explain what the mean absolute deviation is in general. Explain what the MAD means in the context of Robin and Evelyn’s data.

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onyebuchinnaji

The mean absolute deviation (MAD), refers to the mean of the data's absolute deviations around the data's mean.

The MAD implies that Evelyn scores are more spread out than Robin scores.

The given parameters:

  • Robin scores = 99, 108, 102, 107 119
  • Mean of Robin score, = 107
  • Mean absolute deviation = 5.2
  • Evelyn scores = 125, 137, 138, 145
  • Mean of Evelyn score = 5.6

The mean absolute deviation (MAD), refers to the mean of the data's absolute deviations around the data's mean. It implies the absolute distance from the mean of the data set.

The absolute distance of Evelyn scores from her mean score is greater than the absolute distance of Robin scores from his mean score.

Thus, we can conclude that Evelyn scores are more spread out than Robin scores.

Learn more about mean absolute deviation here: https://brainly.com/question/17381861

s8935105

Answer:Sample Response: Robin’s median score is 107. Evelyn’s median score is 138. The medians are the same as the means, so the same conclusion would be reached that Robin is winning.

Step-by-step explanation:There hope that helps, if it doesn't welp I don't know what to tell you then.

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