a. | Gregory does not quantify his statement and may only be looking at the upper extreme value. The teacher could ask Greg to determine "how much taller" the boys are than the girls. |
b. | Marie is comparing the variation in the data and notices overlap in the values. The teacher might ask her to quantify her response. |
c. | Arketa is considering other representations that might make certain patterns and relationships between the data sets more apparent. The teacher could ask the class to consider additional ways to represent the data that would make some comparisons more visible. |
d. | Michael correctly determines the median for each data set and quantifies "how much taller" the boys are than the girls by comparing the medians of the data sets. The teacher might ask the other students to react to Michael's statement and then consider why it can be useful to compare the medians of two data sets. |
e. | Paul quantifies "how much taller" the boys are than the girls by comparing what he thinks are the medians of the data sets; what he found, though, was the middle of each range and not the middle of the data. This is an opportunity for the teacher to review the meaning of median as well as ways to find the median of a set of ordered data. |
f. | Kassie believes that she is comparing the modes of the data sets, but when three or more values have the same number of data points, such as the boys, the data is considered not to have a mode. The teacher can review the meaning of mode and ask the students to speculate as to why statisticians say that a data set doesn't have a mode when three or more values have the same number of data points. |
g. | DeJuan correctly calculates the means and quantifies "how much taller" the boys are than the girls by comparing the means of the data sets. The teacher could now have the students compare the medians and means of the two data sets. What does each tell us about the data? In this situation, is one comparison more appropriate than the other one? Why or why not? |
h. | Carl is comparing intervals of the two data sets that contain the most data. The teacher could take this opportunity to focus further attention on the importance of examining intervals in considering how the data are spread out or bunched together. |