Data science

Question 1

What is the definition of Nominal data

Answer 1

Named data that can be arranged into various, non-overlapping groups, such as eye colour, pets and species

Question 2

What is the definition of Ordinal data

Answer 2

Ordinal data is also known as categorical data, it is where variables fit into logical categories

Question 3

What is the definition of interval data

Answer 3

Data which is measured along a scale where the distance between each point is equal, there is no true zero with interval data

Question 4

What is the definition of ratio data

Answer 4

Data measured along a scale in which there is a true zero and the distance between adjacent values is equal.

Question 5

What is continuous data

Answer 5

Data which will fit anywhere on a scale between 0 and infinite, for example decimals are a form of continuous data

Question 6

What is discrete data

Answer 6

Discrete data is data which only allows certain values, for example in counting population size you cannot have 0.5 of a person

Question 7

What graphs are appropriate for presenting nominal data

Answer 7

A bar chart and a pie chart are both appropriate.

Question 8

What graphs are appropriate for presenting ordinal data

Answer 8

A histogram is most appropriate, put you can also use pie and bar charts

Question 9

What graphs are appropriate for presenting interval data

Answer 9

A histogram, line graph or scatter plot are both appropriate

Question 10

What graphs are appropriate for presenting ratio data

Answer 10

A histogram, line graph or scatter plot are both appropriate

Question 11

What type of information can we take from nominal data

Answer 11

You can take a mode - but not an average or standard deviation.

Question 12

What type of information can we take from ordinal data

Answer 12

You can take a mode - but not an average or standard deviation, this is because there is no consistent distance between the points on the scale (the distance between happy and unhappy could be greater than the distance between unhappy and very unhappy)

Question 13

What type of information can we take from interval data

Answer 13

You can take an average and calculate the standard deviation

Question 14

what information can we take from ratio data

Answer 14

You can take an average and calculate the standard deviation

Question 15

What is the difference between qualitive and quantitive data

Answer 15

Qualative data is data which describes the quantities of something, whereas quantitive data is a recording of the amount of something

Question 16

Interval and Ratio are both examples of scale data, what is the biggest difference between the two

Answer 16

There is no true 0 in interval data