Quantitative data and its analysis

Question 1

What are the pros and cons of a mean value?

2

Answer 1

• Sensitive measure, reflects all values of data

- Unrepresentative (extreme values)

Question 2

What are the pros and cons of a median value?

2

Answer 2

• Not affected by extreme scores

- >sensitive (not all values reflected in final calc)

Question 3

What are the pros and cons of a mode value?

2

Answer 3

• Useful when data in categories (nominal)

- >Useful when many modes

Question 4

What are the pros of a range value?

2

Answer 4

• Easy to calculate

- Easy to show how spread data is (^ and lowest used)

Question 5

What is the main con of a range value?

1

Answer 5

• Affected by extreme values

Question 6

What are the pros of an SD value?

2

Answer 6

• Precise, all exact values used

- Easy to calc

Question 7

What are the main cons of an SD value?

2

Answer 7

• Hide characteristics of data set (extreme values)

- Long to identify

Question 8

What is meant by measure of dispersion?

1

Answer 8

• Tells us about the spread of the data (range, SD)

Question 9

What is meant by measure of central tendency?

1

Answer 9

• Avg values for data set (mean, median, mode)