To determine the correct interpretation of the IQR (Interquartile Range) for the given dataset of video game scores, we first need to calculate the IQR.
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Order the scores: 287, 287, 290, 295, 329, 365, 387, 389, 397.
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Find the first quartile (Q1): This is the median of the lower half (excluding the overall median if there's an odd number of values).
- Lower half: 287, 287, 290, 295
- Q1 = (287 + 290) / 2 = 288.5
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Find the third quartile (Q3): This is the median of the upper half.
- Upper half: 365, 387, 389, 397
- Q3 = (387 + 389) / 2 = 388
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Calculate the IQR:
- IQR = Q3 - Q1 = 388 - 288.5 = 99.5
Now we have the IQR value of 99.5, which describes the variability of the middle 50% of the scores.
Now, let’s analyze the response options:
- An IQR of 99.5 indicates that the average score was 99.5 points. (False: IQR does not indicate average.)
- An IQR of 329 indicates that the center of the data is around this score. (False: IQR does not indicate the center.)
- An IQR of 99.5 indicates that the video game player had a relatively small variability for their middle scores. (False: An IQR of 99.5 typically indicates moderate variability.)
- An IQR of 329 indicates that the video game player had a relatively large variability for their middle scores. (False: Again IQR is 99.5, not 329.)
Conclusion: None of the provided responses are correct interpretations concerning the IQR of 99.5 in relation to the scores. The IQR suggests a moderate level of variability among the middle 50% of the scores, but none of the statements reflect this accurately.