Averages

Question 1

pros of mean

Answer 1

includes every value in data set

Question 2

cons of mean

Answer 2

affected by extreme values
may not be a sensible answer

Question 3

pros of median

Answer 3

isn’t affected by extreme values

Question 4

cons of median

Answer 4

doesn’t include all data

Question 5

pros of mode

Answer 5

isn’t affected by extreme values
only average that can be used in qualitative data

Question 6

cons of mode

Answer 6

can be multiple modes or no mode

Question 7

pros of midrange

Answer 7

simple to calculate

Question 8

cons of midrange

Answer 8

affected by extreme values
doesn’t use all the data

Question 9

pros of range

Answer 9

reflects all the data

Question 10

cons of range

Answer 10

affected by extreme values

Question 11

pros of interquartile range

Answer 11

not usually affected by EVs

Question 12

cons of interquartile range

Answer 12

doesn’t use all of the data

Question 13

pros of interpercentile range

Answer 13

not affected by EVs
uses more data than interquartile range

Question 14

cons of interpercentile range

Answer 14

doesn’t use all of the data

Question 15

pros of variance

Answer 15

uses all the data

Question 16

cons of variance

Answer 16

affected by EVs
doesn’t have same units as data set

Question 17

pros of standard deviation

Answer 17

uses all of the data
same units as data set

Question 18

cons of standard deviation

Answer 18

affected by EV