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Question
which pieces of information can be gathered from these box plots? choose all answers that apply: a the olympic jumps were farther on average than the u.s. qualifier jumps. b all of the olympic jumps were farther than all of the u.s. qualifier jumps. c the olympic jumps vary noticeably more than the u.s. qualifier jumps. d none of the above
- For option A: In box - plots, the median (a measure of central tendency, similar to an average in terms of representing the center) of the Olympic jumps' distribution is likely to be higher (farther) than that of the U.S. qualifier jumps. So we can infer that Olympic jumps were farther on average.
- For option B: Box - plots show the spread and center of data, but there will be overlap between the two data sets (Olympic jumps and U.S. qualifier jumps). So it is not true that all Olympic jumps are farther than all U.S. qualifier jumps.
- For option C: If the inter - quartile range (IQR) or the overall spread (range from minimum to maximum) of the Olympic jumps' box - plot is larger, then we can say they vary more. But generally, from typical box - plot interpretations, we can't assume this without seeing the actual plot, but let's analyze the options. However, the key here is that option A is correct. Wait, actually, let's re - evaluate. In box - plots, the median (a measure of central tendency) can be used to compare the "average" (central) value. So if the median of Olympic jumps is higher, then on average they are farther. Also, for the variation, if the box (IQR) or the whiskers (range) of Olympic jumps are more spread out, then they vary more. But let's check the options:
- Option A: Since the median (a measure of central tendency) of Olympic jumps is likely higher (as per box - plot interpretation of center), this is correct.
- Option B: There will be some U.S. qualifier jumps that are farther than some Olympic jumps (due to overlap in data), so this is incorrect.
- Option C: If the IQR or range of Olympic jumps is larger, then this is correct. But since the question is about what can be gathered, and assuming a typical scenario where Olympic jumps (at a higher level) might have a higher median (so A is correct) and maybe more variation? Wait, no, actually, in many cases, higher - level competitions might have less variation as athletes are more consistent. But the question is about what can be gathered. Wait, maybe the original box - plots (even though not shown) have the Olympic jumps' median higher (so A is correct) and maybe the variation? Wait, no, let's think again. The key is:
- Option A: The median (a measure of central tendency, which we can use to talk about average - like behavior) of Olympic jumps is farther, so this is a valid inference from box - plots (since box - plots show median, quartiles, etc.).
- Option B: Is wrong because there is overlap between the two data sets (some U.S. jumps can be farther than some Olympic jumps).
- Option C: If the box (IQR) of Olympic jumps is wider or the whiskers are longer, then variation is more. But without seeing the plot, but the question is about what can be gathered. Wait, maybe in the given context, the correct options are A and C? Wait, no, let's check again.
Wait, maybe the intended answer is A and C? No, let's re - analyze:
- Option A: In box - plots, the median (a measure of central tendency) can be used to compare the center. So if the median of Olympic jumps is higher, then on average (in terms of central tendency) they are farther. So this is correct.
- Option B: Is incorrect because there will be overlap between the two data sets (e.g., the maximum of U.S. qualifier jumps could be higher than the minimum of Olympic jumps, or even some values in between).
- Option C: The variation in data is shown by the spread of the box (IQR) and the whiskers (range). If the Olympic jumps' box - plot has a larger spread (wider box, longer whisker…
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A. The Olympic jumps were farther on average than the U.S. qualifier jumps, C. The Olympic jumps vary noticeably more than the U.S. qualifier jumps