Statistics Data collection

data collection

Define ‘raw data’

Unprocessed. Just been collected. Needs to be ordered, grouped, rounded, cleaned

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define qualitative data

Non-numerical, descriptive data

give an example of qualitative data

eye colour, hair colour, gender

define quantative data

Numerical data. Can be measured with numbers, easier to analyse.

give an example of quantative data

height, weight, exam marks

define discrete data

only takes particular values

give examples of discrete data

shoe size, number of people

define continuous data

can take any value

give examples of continuous data

height, weight

define categorical data

data that can be sorted in non-overlapping categories

give an example of categorical data

gender

define ordinal (ranked) data

quantative data that can be given an order or ranked on a rating scale

give an example of ordinal data

marks on an exam

define bivariate data

involves measuring 2 variables

define multivariate data

made up of more than 2 variables

define primary data

data that youve collected yourself, or data collected by someone else for the purpose of your investigation

give an example of primary data

surveys

define secondary data

data already in existence/data collected by others (not for the purpose of your investigation)

give an example of secondary data

wikipedia

list 3 advantages of primary data

\-specific info

\-You do things the way you like it

\-can learn new things

\-data can be outdated

list 3 disadvantages of primary data

• can be a lot of work

• tiring

• expensive

list 3 advantages of secondary data

\-reliable info from real organisations

\-simple,easy

\-can save time and money

list 3 disadvantages of secondary data

\-info not done the way you like it

\-info might be outdated

\-data might not suit your specific needs