SA1 Types of data

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From users who are members of Skills Audits for Maths and Stats :

Will Morgan	said	Ready to use	1 year ago
Lauren Desoysa	said	Needs to be tested	1 year ago

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Michael Pan 11 months, 2 weeks ago

Published this.

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Lauren Desoysa 1 year ago

Created this as a copy of Discrete and continuous data.

Name	Status	Author	Last Modified
Discrete and continuous data	Ready to use	Stanislav Duris	20/11/2019 14:37
Robert's copy of Discrete and continuous data	draft	Robert Aykroyd	25/10/2017 11:48
Robert's copy of Robert's copy of Discrete and continuous data	draft	Robert Aykroyd	25/10/2017 11:49
Discrete and continuous data	draft	Robert Aykroyd	25/10/2017 11:49
Simon's copy of Discrete and continuous data	draft	Simon Thomas	08/05/2019 09:41
SA1 Types of data	Ready to use	Lauren Desoysa	04/04/2024 10:43

There are 13 other versions that do you not have access to.

Question statement

Decide whether the following data sets are discrete or continuous.

Give any introductory information the student needs.

			Name	Type	Generated Value

disc	list	List of 6 items
cont	list	List of 4 items
trick	list	List of 3 items
ranc	integer	3
rant	integer	1
ranc2	integer	1
rand2	integer	0
rand3	integer	4
rand	integer	3

Automatically regenerate variables?

Name

Data type

Value

xxxxxxxxxx
 
["The number of Stage 1 students.", "The result of rolling 3 dice.", "Shoe sizes.", "The number of chocolate bars sold on Monday.", "The number of movies downloaded.", "The number of cinema tickets sold."]

JME function reference

Description

Describe what this variable represents, and list any assumptions made about its value.

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Generated value: `list`

[ "The number of Stage 1 students.", "The result of rolling 3 dice.", "Shoe sizes.", "The number of chocolate bars sold on Monday.", "The number of movies downloaded.", "The number of cinema tickets sold." ]

→ Used by:

"Part b)" - prompt
"Part c)" - prompt
"Part f)" - prompt

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{cont[ranc]}

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Discrete

Marks: Distractor Message:
Continuous

Marks: Distractor Message:

Advice

Data can either be discrete or continuous.

Discrete data consists of integers, units of measurement cannot be split. Only certain values have a meaning.
Continuous data can be shown on a number line, all points on this line have a meaning. In between two measurements there's always a valid "middle" measurement. So for example, between 156.3cm and 156.4cm there's 156.35cm.

a)

Height is a continuous variable. For example, 180.3cm and 180.4cm have a valid midpoint 180.35cm.Weight is a continuous variable. For example, 54.5kg and 54.6kg have a valid midpoint 54.55kg.Time is a continuous variable. For example, 54.2s and 54.3s have a valid midpoint 54.25s.Temperature is a continuous variable, it can take any value between -273.15°C (absolute zero) and positive infinity. For example, 25°C and 26°C have a valid midpoint 25.5°C. Hence, this data is continuous.

b)

The number of Stage 1 students will always be an integer. You cannot split one student into two, for example value 19.5 students does not make sense. Therefore, this is a discrete set of data.The result of rolling 3 dice can take values of integers from 3 up to 18. For example, values 3 and 4 do not have any valid middle measurement. Therefore, this is a discrete set of data.Shoe sizes are a discrete set of data. For example, sizes 39 and 40 mean something while the middle value 39.5 does not.The number of chocolate bars sold on Monday will always be an integer. There is no middle measurement between 1 and 2 bars sold. You cannot buy a half of a bar. Therefore, this is a discrete set of data.The number of movies downloaded will always be an integer. You can either download a movie successfully or unsuccessfuly, so this is a discrete set of data. It is impossible to split 0 and 1 movies downloaded into 0.5. The number of cinema tickets sold will always be a whole number. There is no middle measurement between 1 and 2 tickets sold. You simply cannot buy half of a ticket. Therefore, this is a discrete set of data.

c)

The number of Stage 1 students will always be an integer. You cannot split one student into two, for example value 19.5 students does not make sense. Therefore, this is a discrete set of data.The result of rolling 3 dice can take values of integers from 3 up to 18. For example, values 3 and 4 do not have any valid middle measurement. Therefore, this is a discrete set of data.Shoe sizes are a discrete set of data. For example, sizes 39 and 40 mean something while the middle value 39.5 does not..The number of chocolate bars sold on Monday will always be an integer. There is no middle measurement between 1 and 2 bars sold. You cannot buy a half of a bar. Therefore, this is a discrete set of data.The number of movies downloaded will always be an integer. You can either download a movie successfully or unsuccessfuly, so this is a discrete set of data. It is impossible to split 0 and 1 movies downloaded into 0.5.The number of cinema tickets sold will always be a whole number. There is no middle measurement between 1 and 2 tickets sold. You simply cannot buy half of a ticket. Therefore, this is a discrete set of data.

d)

e)

When we round continuous variables to the nearest integer, this data becomes discrete, as there are no valid middle measurements between the integers. Therefore, the weight of a dog to the nearest kgthe height of Olympic medalists to the nearest cmthe time taken to run 10km to the nearest min is discrete and not continuous.

f)

The number of Stage 1 students will always be an integer. You cannot split one student into two, for example value 19.5 students does not make sense. Therefore, this is a discrete set of data.The result of rolling 3 dice can take values of integers from 3 up to 18. For example, values 3 and 4 do not have any valid middle measurement. Therefore, this is a discrete set of data.Shoe sizes are a discrete set of data. For example, sizes 39 and 40 mean something while the middle value 39.5 does not.The number of chocolate bars sold on Monday will always be an integer. There is no middle measurement between 1 and 2 bars sold. You cannot buy half of a bar of chocolate. Therefore, this is a discrete set of data.The number of movies downloaded will always be an integer. You can either download a movie successfully or unsuccessfuly, so this is a discrete set of data. It is impossible to split 0 and 1 movies downloaded into 0.5.The number of cinema tickets sold will always be a whole number. There is no middle measurement between 1 and 2 tickets sold. You simply cannot buy half of a ticket. Therefore, this is a discrete set of data.

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Taxonomy: mathcentre

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Michael Pan 11 months, 2 weeks ago

Will Morgan 1 year ago

Lauren Desoysa 1 year ago

Lauren Desoysa 1 year ago

Error in variable testing condition

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Generated value: `list`

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a)

b)

c)

d)

e)

f)

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SA1 Types of data

Metadata

Taxonomy: mathcentre

Taxonomy: Kind of activity

Taxonomy: Context

Contributors

Feedback

History

Comment

Checkpoint description

Michael Pan 11 months, 2 weeks ago

Will Morgan 1 year ago

Lauren Desoysa 1 year ago

Lauren Desoysa 1 year ago

Error in variable testing condition

Error

Warning

Generated value: list

Parts

Choose one from a list

Advanced settings

a)

b)

c)

d)

e)

f)

Generated value: `list`