To best describe the spread and distribution of the data based on the histogram provided, let's analyze the key characteristics:
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Distribution Shape:
- The frequencies of grades show that there are very few low scores (2 students scored between 41-50, 1 scored between 51-60, and 1 scored between 61-70).
- The majority of students scored higher, with 4 in the 71-80 range, 7 in the 81-90 range, and 6 in the 91-100 range. This creates a distribution with a substantial concentration of grades in the higher ranges, indicating a skew to the left (or positively skewed).
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Maximum Range:
- The range of the grades is from 41 to 100, which gives a maximum range of 100 - 41 = 59.
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Conclusions:
- Considering the description that the grades are not evenly distributed but tend to cluster at the higher end suggests it is skewed rather than symmetric, bimodal, or symmetric with a maximum range.
Given this analysis, the best statement that describes the spread and distribution of the data is:
The data is skewed, with a maximum range of 59. This might be because the teacher offered extra credit, and most of the students did that to increase their grades above 70.
This option aligns with the observed distribution of grades in the histogram.