To find the interquartile range (IQR) of the given scores, we first need to arrange the scores in ascending order:
- 287
- 287
- 290
- 295
- 329
- 365
- 387
- 389
- 397
Next, we identify the first (Q1) and third (Q3) quartiles:
- Q1 (the median of the first half of the data) is the average of 287 and 290, which equals 288.5.
- Q3 (the median of the second half of the data) is the average of 387 and 389, which equals 388.
Now, we can calculate the IQR:
- IQR = Q3 - Q1 = 388 - 288.5 = 99.5.
Based on this calculation, the IQR indicates that the range of the middle 50% of the scores is 99.5 points.
Now, looking at the response options:
- "An IQR of 329 indicates that the video game player had a relatively large variability for their middle scores."
- "An IQR of 99.5 indicates that the average score was 99.5 points."
- "An IQR of 329 indicates that the center of the data is around this score."
- "An IQR of 99.5 indicates that the video game player had a relatively small variability for their middle scores."
The correct interpretation is that an IQR of 99.5 indicates that the video game player had a relatively small variability for their middle scores.
So, the fourth option is the most accurate, as it indicates the player had a level of variability that reflects the dispersion of the middle 50% of scores rather than an average of scores.