Answer:
-45
Step-by-step explanation:
hope this helps
That is all correct, good job!
Step-by-step explanation:
First we must calculate the interquartile range (IQR), using this equation:

Based on the information provided we fill in:


In order to find what the range for the data set is we need to use the Interquartile Rule:
× 
× 
×
Now we plugin in:


Any number below 25.5 is a possible outlier and any number above 77.5 is a possible outlier.
Answer:
Based on the results of the calculations, 25 could be a possible outlier in the data set.
Answer:
2) -47, 33, -243, 907, -88
4) C & D
5) 30, 45, 0, -10
6) B