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:
<em>Robin scores = 99, 108, 102, 107 119</em>
<em>Mean of Robin score, = 107</em>
<em>Mean absolute deviation = 5.2</em>
<em>Evelyn scores = 125, 137, 138, 145</em>
<em>Mean of Evelyn score = 5.6</em>
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.
The graph (although it doesn't show it) is making points at every 20 (dollars) mark and also lines up to each hour mark, meaning that for every hour, Tanya makes 20 dollars.
