Answer:
I think your right my dude
Step-by-step explanation:
A value that "lies outside" (is much smaller or larger than) most of the other values in a set of data.
For example in the scores 25,29,3,32,85,33,27,28 both 3 and 85 are "outliers".
Answer:
{290,315,340, 365, 390, 415, 440, 465} That's the answer. Its hard for me to explain how i got it.
A.) For the Junior Varsity Team, mean would be the appropriate measure of center since the data is <span>symmetric or well-proportioned while we should use standard deviation for getting the measure of spread since it also measures the center and how far the values are from the mean.
b.) For the Varsity Team, the median would be the appropriate measure of the center since the data is skewed left and not evenly distributed so median could be used since it does not account for outliers while we use IQR or interquartile range in measuring the spread of data since IQR does not account for the data that is skewed. </span>
Answer:
2944
Step-by-step explanation:
(-22-10)-92
(-32)-92
2944
Hope it is helpful for you please follow me
