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