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Hannah
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Cards (38)
Quantative
data that is
number
based
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Qualitative
data that is not
number
based
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Continuous
data that can take any
value
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Discrete
data that can only take
certain
values
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Categorical
data that has been
classified
e.g. gender
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Ordinal
written in order or a
scale
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Bivariate
a
pair
of related
data
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Multivariate
data that has
three
or
more
variables
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Primary
data
collected by the person using it
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Secondary data
has already been collected by someone else
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Population
everything
or everyone that could be
involved
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Census
survey
of the
whole
population
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Sample
a
small
number from the
population
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Sampling frame
a
list of
people that are going to be
sampled
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Biased sample
not
representative
of the population
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Bias
favoring
one
thing
over
another
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Extraneous
variables
an
unwanted
variable that
might
affect the results
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Control
group
in the
same
conditions
but stay
untreated
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Explanatory
variable
the thing you
investigate
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Response
variable
measures
an
outcome
of a
study
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raw
data
The
original
unorganized
data collected.
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Simulation
computer
generated
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Observation
natural
experiment
where you have
little
control
over the
variables.
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CPI
is the
speed
of
inflation
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RPI
cost of
mortgage
/
rent
and is used to
calculate
the cost of
living
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Interpolation
estimating the
value
within
a
known
range (
more
reliable
)
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Extrapolation
estimating
values beyond a
known
range
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Double
mean
find the
mean
of each set of
data
and plot it
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Spearmans
rank
correlation
coefficient (SRCC)
runs
on a scale between
-1
and
1
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Pearson's product-moment correlation coefficient (PMCC)
calculates
the
vertical
distance
between
each
point
and the
line
of best
fit.
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Random sampling
method:
number each member of the population
select
numbers
using a
random number generator
pick the people who
correspond
Random sampling
is when each member of the population has an
equal chance
of being
picked.
Judgement sampling
is when the person choosing the sample has an
element
of
choice
which leads to
bias.
Stratified
sampling means you choose a
random
sample that represents your
population.
Convenience
sampling
picking what ever is
easiest
(e.g. the first people who arrive)
likely to be
biased
and
unrepresentative
but its
quick
and
easy
Systemic sampling
is when there are no particular
subgroups
and you choose people / things from a list at
regular intervals.
Quota sampling:
is used when there are
constraints
(e.g. picking certain
ages
/
genders
to ask rather than a
fair representation
)
ensures results are
relevant
but can be
biased
Estimating
the
median
:
find the group the
median
is in
use
n+1
/
2
to find the
middle
position
calculate how
far
in the group it is ans /
total
of group x group
width
add onto
start
of category