Question
Drag each label to the correct location on the table. Each label can be used more than once.
A cross country coach records the number of miles his athletes on the Junior Varsity and Varsity teams ran today and displays the data in the provided dot plots. Given the shape of each distribution, determine which measures of center and spread are appropriate for him to use to summarize the data from each team.
interquartile
range
median
standard
deviation
mean
A cross country coach records the number of miles his athletes on the Junior Varsity and Varsity teams ran today and displays the data in the provided dot plots. Given the shape of each distribution, determine which measures of center and spread are appropriate for him to use to summarize the data from each team.
interquartile
range
median
standard
deviation
mean
Answers
GPT-5 mini
I don’t see the dot plots — could you upload the image or describe the shape of each team’s dot plot (symmetric/roughly normal, skewed left/right, and whether there are obvious outliers)?
Meanwhile, here are the quick rules you can use to decide which labels to drag to each table cell:
- If the distribution is roughly symmetric and has no strong outliers (looks bell-shaped or evenly spread about the center) → use mean and standard deviation.
- Reason: mean and SD use all data and are appropriate when extremes don’t distort the center or spread.
- If the distribution is skewed or has outliers/extreme values → use median and interquartile range (IQR).
- Reason: median and IQR are robust to outliers and give a better summary for skewed data.
If you want a direct placement now, tell me each plot’s shape (for example: “JV is skewed right with an outlier at 10 miles; Varsity is roughly symmetric”), and I will map the four labels to the two teams.
Meanwhile, here are the quick rules you can use to decide which labels to drag to each table cell:
- If the distribution is roughly symmetric and has no strong outliers (looks bell-shaped or evenly spread about the center) → use mean and standard deviation.
- Reason: mean and SD use all data and are appropriate when extremes don’t distort the center or spread.
- If the distribution is skewed or has outliers/extreme values → use median and interquartile range (IQR).
- Reason: median and IQR are robust to outliers and give a better summary for skewed data.
If you want a direct placement now, tell me each plot’s shape (for example: “JV is skewed right with an outlier at 10 miles; Varsity is roughly symmetric”), and I will map the four labels to the two teams.