PART 1:

The mean and MAD for Martin's test scores in questions 4 and 5 provide us with important information about the data. The mean tells us the average test score of Martin, which indicates the central tendency of his scores. It helps us understand the overall performance of Martin in those two questions. On the other hand, the MAD (Mean Absolute Deviation) tells us the average distance of each test score from the mean. It provides us with a measure of the variability or spread of Martin's scores. By looking at the MAD, we can determine how consistent or varied his scores are. Overall, the mean and MAD help us gain insight into Martin's performance and the distribution of his test scores.

PART 2:
The mean and MAD for Trisha's high jumps in questions 6 and 7 offer us valuable information about the data. The mean represents the average height of Trisha's high jumps, providing us with a measure of the central tendency. It tells us the typical height that Trisha achieves in her jumps. Additionally, the MAD (Mean Absolute Deviation) shows us the average deviation/distance of each high jump from the mean. This gives us an idea of the variability or spread of Trisha's jump heights. By considering the MAD, we can determine if her jumps consistently cluster around the mean or if they have more variation. In summary, the mean and MAD help us understand Trisha's performance and the distribution of her high jump heights. simpily this

1 answer

The mean tells us the average high jump height of Trisha, while the MAD tells us the average deviation from the mean. Both of these measures provide insights into Trisha's performance and the variability of her high jumps.
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