Type 1 error (alpha) - ✔✔you sAw a difference that did not really exist
(convicting an innocent man)
Type 2 error (beta) - ✔✔you were Blind to a difference that did exist
(setting a guilty man free)
Power - ✔✔1-beta or in other words, 1 - type 2 error
(increasing sample size will increase power, there is POWER in numbers. Also,
increasing Precision will increase power)
SEM - ✔✔SD / square root of n
Confidence Interval - ✔✔range from [mean - Z (SEM)] to [mean + Z (SEM)]
Z = 1.96 for 95% CI
Z = 2.58 for 99% CI
On the test, it may be easier to remember the Z values as 2 and 2.5 for easier
calculations and memorization
t - test - ✔✔checks difference between the means of 2 groups
ANOVA - ✔✔checks difference between the means of 3 or more groups
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