Analysis of Data

Question 1

How to find outliers?

Answer 1

Q1-1.5xIQR
Q3+1.5xIQR

Question 2

What is qualitative data

Answer 2

Data that cannot be counted (eg colour)

Question 3

What is quantative data

Answer 3

Data from which can be counted or measured (eg. Height)

Question 4

What can quantitive data be split into

Answer 4

Discrete and continuous

Question 5

What is discrete data

Answer 5

Data with a limited number of countable values

Question 6

What is continuous data

Answer 6

Data measured on scale and can take any value along that scale.

Question 7

What is a sampling frame

Answer 7

Used to identify population - list which contains all items in population that have chance of being sampled

Question 8

What is random sampling

Answer 8

Random numbers generated - equal chance of being sampled. Must have sampling frame. Free from bias

Question 9

Stratified sampling what is it

Answer 9

Samples chosen in ratio to the population (eg age or gender) more accurate than random.
Needs sampling frame

Question 10

Cluster sampling what is it

Answer 10

Population divided into groups. Only certain groups sampled. Could be bias, doesn’t need sampling frame.

Question 11

What is quota sampling

Answer 11

Surveyor picks who they want to survey. Not random and has bias.

Question 12

Where do you plot for cumulative frequency

Answer 12

End of each grouping

Question 13

Frequency density =

Answer 13

F/CW