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RM1
week 5 - confidence intervals and effect size
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Created by
Susan Denkiewicz
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Cards (7)
confidence intervals allow us to ...
measure
uncertainty
about
estimates
, describes a range of values within which the true population parameter should occur
what is an effect size
standard way to
quantify
effect
95% of z-scores are found between
-
1.96
and +1.96
critical values of percentages in CIs only work when
using
mean distributions
large
numbers
of
samples
(>30)
When n<30 what do we use instead
t-distributions as they are slightly broader with lower values of n so CI would be wider which accounts for uncertainty caused by smaller samples
what is the relationship between
CI
and
sample size
CI decreases and sample size increases
What are equations for CI
mean +/- 1.96 x
SEM
point estimate +/-
critical value
x
standard error
mean +/-
critical value of t
x SEM