Type 1 error (alpha) - Answer✔️✔️-you sAw a difference that did not really
exist
(convicting an innocent man)
Type 2 error (beta) - Answer✔️✔️-you were Blind to a difference that did
exist
(setting a guilty man free)
Power - Answer✔️✔️-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 - Answer✔️✔️-SD / square root of n
Confidence Interval - Answer✔️✔️-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 - Answer✔️✔️-checks difference between the means of 2 groups
2
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