The data below shows the average number of text messages sent daily by a group of people: 7, 8, 4, 7, 5, 2, 5, 4, 5, 7, 4, 8, 2,
1, 8 What will be the effect of introducing an outlier in the data? A.The median number of text messages sent daily will increase. B.The median number of text messages sent daily will decrease. C.The difference between the maximum and minimum number of text messages sent daily will increase. D. The difference between the maximum and minimum number of text messages sent daily will decrease.
It all depends. You've given us an incredibly vague question.
The outlier could be a number that's low or quite high. Also, outliers shouldn't really contribute towards the value of the mean, median or range related to a group of data.
They are called outliers because they are bizarre results or numbers and should be detached from groups of data. Outliers by definition are abnormalities or anomalies.
I'd say outliers don't really change anything, unless you actually want to give them credibility or weight.
Large outliers can inflate the value of means, medians and ranges.
Small outliers will invariably deflate the value of means and medians.
Please ensure that you've copied down this problem correctly. You speak of someone named "Yarin" but also speak of "my" and "I". Are there really two different people who "star" in this problem? Are you studying "ratios" right now?
