Sample and Data

Question 1

Random sample

Answer 1

Every member of the population has and equal chance of being selected; fair and unbiased

Question 2

Judgement sampling

Answer 2

Using your judgement to pick a sample that represents the population

Question 3

Opportunity sampling

Answer 3

Using the people or objects that are available at the time

Question 4

Cluster sampling

Answer 4

When data naturally splits into groups/clusters then a random sample is used to select a few clusters to make the sample

Question 5

Systematic sampling

Answer 5

Choose a starting point from the sampling frame then choose items at regular intervals

Question 6

Quota sampling

Answer 6

Grouping the population according to characteristics then interview a quota from each group e.g. 10 males over 25

Question 7

Raw data

Answer 7

Data just as it is collected (unorganized)

Question 8

Discrete data

Answer 8

Data that can only take certain values

Question 9

Continuous data

Answer 9

Data that can take any value within a certain range

Question 10

Categorical data

Answer 10

Data that can be sorted into non overlapping categories

Question 11

Ordinal data

Answer 11

Data that can be written in order or given some sort of numerical rating scale

Question 12

Bivariate data

Answer 12

A pair of related data

Question 13

Multivariate data

Answer 13

Involves 3 or more sets of related data

Question 14

Primary data

Answer 14

Data that has been collected by or for the person that is going to use it

Question 15

Secondary data

Answer 15

Data collected by someone else