Answer:
Before the error, the mean and the median were both 90.
The error added an outlier to the data set.
After the error, the mean was 75 and the median was 87.5
The mean was impacted by the error more than the median
Step-by-step explanation:
First is to put the data in order from smallest to largest
80,85,90,95,100
The mean is add up the data and divide by the number of points. The median is the middle of the data
Mean = (80+85+90+95+100)/5=450/5 = 90
Median = 90
When a 0 is added
0, 80,85,90,95,100
There is now an outlier, which is a data point far away from the others
Mean = (0+80+85+90+95+100)/6=450/6 = 75
Median = (85+90)/2 = 87.5
When the data set is even, take the two middle numbers and average them
The mean was impacted more than the median. It went from 90 to 75, where the median went from 90 to 87.5
