Summary Statistics + Comparisons

Question 1

What should you include when comparing data sets?

Answer 1

-A measure of central tendency (average)
-A measure of spread (consistency
-Links to context

Question 2

What are examples of measures of central tendency?

Answer 2

Mean, median and mode

Question 3

What are examples of measures of spread?

Answer 3

Range, IQR, variance, standard deviation

Question 4

Advantages and Disadvantages of mean?

Answer 4

Advantages:
-Easy to find
-Uses all values

Disadvantages:
-Can be affected by outliers
-Can’t be used for non numerical data

Question 5

Advantages and Disadvantages of mode?

Answer 5

Advantages:
-Easy to find
-Not affected by outliers
-Can use for non-numerical data

Disadvantages:
-Doesn’t use all values
-May not exist
-May not be a measure of central tendency

Question 6

Advantages and Disadvantages of median?

Answer 6

Advantages:
-Not affected by outliers
-Useful for skewed distributions

Disadvantages:
-Doesn’t use all values
-Difficult to calculate for large data sets