anonymous
  • anonymous
Here are 10 test scores: 73, 74, 76, 77, 78, 79, 80, 80, 82, 84. The mean of these scores is 78.3. Does this set have an outlier and, if so, how does removing it affect the mean? A. The set has 73 as an outlier and removing it increases the mean by about 0.5. B. This data set has no outliers. C. The set has 73 as an outlier and removing it decreases the mean by about 10. D. The set has 73 as an outlier and removing it decreases the mean by about 0.5.
Mathematics
  • Stacey Warren - Expert brainly.com
Hey! We 've verified this expert answer for you, click below to unlock the details :)
SOLVED
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
katieb
  • katieb
I got my questions answered at brainly.com in under 10 minutes. Go to brainly.com now for free help!
anonymous
  • anonymous
@Nixy and @pooja195
LynFran
  • LynFran
An outlier is a value in a data set that is very different from the other values. That is, outliers are values unusually far from the middle. In most cases, outliers have influence on mean , but not on the median , or mode.
anonymous
  • anonymous
so B

Looking for something else?

Not the answer you are looking for? Search for more explanations.

More answers

LynFran
  • LynFran
well looking at the definition i think its B too
anonymous
  • anonymous
No the set does not have any outliers and the answer is B. I concur.

Looking for something else?

Not the answer you are looking for? Search for more explanations.