The answers would be A & E, or, 90° clockwise and also 270° counterclockwise:)
13/50 = 0.26
0.26 is very close to 0.25 which is 1/4.
Answer: A. 1/4
A large outlier could affect the data set because it could make the mean larger, which just means that the average number of the set would be a lot bigger than it already is.
An example would be: 1, 3, 5, 19
19 is obviously the large outlier, so to find the mean, we would add everything together then divide by 4.
The mean would be 28/4=7 So 7 is our mean, but if the large outlier were, let's say 50, then the mean would be way larger than it already is.
~Hope this helped!~
24 cans in total is your answer
