Data - 1.1/1.3

Question 1

Quantitative Data

- with an example

Answer 1

numerical observations or measurements such as 10 or 3.9m.

Question 2

Qualitative Data

- with an example

Answer 2

non-numerical observations, such as blue or cat.

Question 3

Raw data

Answer 3

Data as it has been collected - before it is ordered, grouped or rounded.

Question 4

What are the two types of Quantitative data?

Answer 4

Discrete

Continuous

Question 5

Continuous Data

- with an example

Answer 5

Can take any value on a continuous numerical scale, such as lengths, masses or times.

Question 6

Discrete Data

- with an example

Answer 6

Can only take particular values on a continuous numerical scale, such as shoe size or number of pets.

Question 7

Categorical Data

Answer 7

Can be sorted into non-overlapping categories.

Question 8

Ordinal Data

Answer 8

Can be written in order or can be given a numerical rating scale.

Question 9

Bivariate Data

Answer 9

Data involving pairs of related data.

Question 10

Multivariate Data

Answer 10

Data involving sets of three or more related data values.

Question 11

What is the difference between Bivariate and Multivariate Data?

Answer 11

Bivariate = pairs of related data.
Multivariate = sets of 3 or more related data values.

Question 12

Suggest a reason for data grouping:

Answer 12

To allow you to see the distribution of the data and spot patterns.

Question 13

Class intervals

Answer 13

Data grouped into non-overlapping classes.
The class interval is the minimum and maximum points in these groups.

Question 14

Do class intervals need to be of equal width?

Answer 14

No, narrower intervals are often used where data is more congested.

Question 15

Primary Data

Answer 15

Data collected by, or for, the person who is going to use it.

Question 16

Secondary Data

Answer 16

Data which has been collected by someone else.