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Maths
Stats
stats pt 3
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Cards (26)
Data Collection
Location calculator
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Keywords
Regression
Correlation
Discrete
Uniform Distribution
Hypothesis
Testing
Mean
Product Moment
Correlation
Coefficient
Probabilities
of
outcomes
all
equal
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Census
Measures
every member of a
population
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Null Hypothesis (Ho)
What we
assume
to be
true
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Alternative Hypothesis (H1)
What would be true if
Ho
is
wrong
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Significance Level (α)
The given
threshold
of
likeliness
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Sampling frame
List
of
sampling
units
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Regression Line
Line
of
best
fit
y = a + bx
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Binomial Distribution
Fixed
number
of
trials
, n, and
fixed
probability
of
success
, p
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One-tailed Test
When H1: p
>
k or p
<
k
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Two-tailed Test
When H1:
p
≠
k
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Simple Random Sampling
Same
chance
of being
selected
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Systematic Sampling
Take
every
kth
unit, k =
Ps
/m
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Stratified Sampling
Sample represents
groups
(strata) of
population
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Quota Sampling
Strata filled by
interviewer
/
researcher
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Opportunity Sampling
Quota
filled by those
available
at the
time
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Quantitative Data
Numerical
, either
discrete
or
continuous
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Coding
If y =
a
+ bx, then y =
a
+
rx
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Standard
Normal Distribution
Z ~
N(0,1)
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Mutually Exclusive
If A and B are
mutually exclusive
, P(A and B) =
0
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Independence
If
A
and
B
are
independent
, P(
A
and
B
) = P(
A
) * P(
B
)
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Approximating Binomial
as
Normal
If n is large, μ =
np
, σ =
√(npq)
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Conditional Probability
P(B|A)
=
P(A and B)
/
P(A)
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Continuity Correction
Reduce the whole area by
1/2n
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Addition Law
P(A or B) = P(A) + P(B) - P(A and B)
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Sample Mean
Ho
: μ = k,
H1
: μ
> k
or μ <
k
or μ ≠
k
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