Exam results for 100 students are given below. For the given exam grades, briefly describe the shape and variation of the distribution. median \( =78 \), mean \( =79 \), low score \( =65 \), high score \( =87 \) The distribution is right-skewed
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The distribution of exam results shows a tendency towards higher grades, with a mean (79) slightly above the median (78), indicating a potential right-skew. This suggests that while most students scored between 65 and 87, there are a few high outliers pulling the average upwards. Additionally, the range from the low score of 65 to the high score of 87 illustrates a moderate spread of performance among the students. When interpreting exam results, it's essential to analyze not just the mean but the variation within the scores. Given that the median is lower than the mean, it implies that a cluster of students scored lower, impacting the overall average. Common mistakes include assuming that the average score represents the majority’s performance, while the distribution's skewness indicates a few high achievers elevate the mean, distorting the perception of overall performance.
