Question

Mr. Maji gives a test to his class of 25 students. All but 3 students score between 82 and 94. The other three students score 47, 55, and 62. These scores are potentially

A) Outliers
B) Z-scores
C) Medians
D) Skewness measures

Answer 1

The scores of 47, 55, and 62 are outliers since they significantly differ from the rest of the class scores, which are between 82 and 94.

Step-by-step explanation:

Mr. Maji's students who scored 47, 55, and 62 in the class test are considered outliers. An outlier is a data point that is significantly different from the rest of the data. In the context of the question, the vast majority of students scored between 82 and 94, which means that the three students who scored much lower can significantly affect the overall analysis of the data, such as the mean or median. Outliers can be the result of variability in the measurement or it could indicate experimental error; they can also represent a distribution's skewness.

They are not to be confused with z-scores, which are measures of how many standard deviations a data point is from the mean, nor with medians, which are the middle value of a data set, nor skewness measures, which indicate the asymmetry of the probability distribution of a real-valued random variable.Based on the information given, the three students who scored significantly lower than the rest of the class are considered outliers in this scenario.An outlier is a data point that is significantly different from other data points. In this case, the scores of 47, 55, and 62 are much lower than the scores between 82 and 94. Outliers can have a significant impact on the overall data analysis, so it is important to identify and consider them separately.