To find the effect of removing the outlier on the mean, we first need to identify the outlier from the dataset in the table:
Points Scored:
- 85
- 78
- 90
- 52
- 81
- 79
The outlier in this dataset is 52, as it is significantly lower than the other scores.
Next, we calculate the mean before and after removing the outlier:
1. Calculate the mean with all points:
- Total points = 85 + 78 + 90 + 52 + 81 + 79 = 465
- Number of games = 6
- Mean = Total points / Number of games = 465 / 6 = 77.5
2. Calculate the mean without the outlier (52):
- Total points without the outlier = 85 + 78 + 90 + 81 + 79 = 413
- Number of games without the outlier = 5
- Mean without outlier = Total points / Number of games = 413 / 5 = 82.6
3. Compare the means:
- Mean with outlier = 77.5
- Mean without outlier = 82.6
- The difference in means = 82.6 - 77.5 = 5.1
Thus, the mean points scored increases by 5.1 when the outlier is removed.
The correct response is: The mean points scored increases by 5.1.