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Question
the students in marys math class recorded the dimensions of their bedrooms in a frequency table. bedroom areas
| area (sq. ft) | number of bedrooms |
|---|---|
| 80 ≤ a < 100 | 6 |
| 100 ≤ a < 120 | 5 |
| 120 ≤ a < 140 | 3 |
| 140 ≤ a < 160 | 1 |
create a histogram to represent the data. which statement is most likely true about the mean and the median of the data?
the histogram is right - skewed, so the mean is less than the median.
the histogram is right - skewed, so the mean is greater than the median.
the histogram is left - skewed, so the mean is less than the median.
the histogram is left - skewed, so the mean is greater than the median.
In a right - skewed distribution, the tail of the distribution extends to the right. The mean is pulled in the direction of the tail. So, the mean is greater than the median. In a left - skewed distribution, the tail extends to the left and the mean is less than the median. Since the data here is likely to result in a right - skewed histogram (higher frequencies for lower area values and lower frequencies for higher area values), the mean will be greater than the median.
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The histogram is right - skewed, so the mean is greater than the median.