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What is raw data
Unprocessed data that has Just been collected. Needs to be ordered, grouped , rounded, cleaned
what is Qualitative data
Non-numerical, descriptive data such as eye/hair colour or gender. It is usually more difficult to analyse.
what is Quantitative data
Numerical data that Can be measured with numbers. Easier to analyse than quantitative data. Example, height, weights, marks in an exam etc.
what is Discrete data
it Only takes particular values such as shoe size or number of people., It can be grouped into classes (0-11, 11-15), using smaller intervals when data is close together
what is continuous data
data that Can take any value e.g. height, weight., grouped using inequalities
what is categorical data
data that can be sorted into non-overlapping categories such as gender. Used for qualitative data as its easily processed.
what is ordinal data
quantitative data that can be given an order or ranked on a scale , e.g. marks in an exam.
what is bivariate data
Involves measuring 2 variables. Can be qualitative or quantitative, grouped or ungrouped. used with scatter diagrams where the two axes represent the two different variables.
what is multivariate data
dade that is made up of more than 2 variables, e.g=comparing height, weight, age together
what is grouping data
It uses table to spot patterns to see how it is distributed
Pros of continuous and discrete data
Makes data easy to read+ understand, easy to spot pattern and compare data
Cons of continuous and discrete data
Loses accuracy ass exact value is unknown, Calculations made is an estimate(e.g=mean)
what is primary data
Data you have collected, or collected on ur behalf
what is secondary data
data that has already been collected
Pros of primary data
accurate, collection method known
cons of primary data
time consuming, expensive
pros of secondary data
cheap, easy, quick, data from some organisations can be reliable
cons of secondary data
method of collection unknown, data can be out of date, can contain mistakes, may be from unreliable sources