Statistical Errors and Tests

Front

Type 1 Error (alpha)

Back

probability of rejecting the null hypothesis when it is true; indicating 2 means are different when they are not

Front

Type 2 Error (beta)

Back

probability of not rejecting a false null hypothesis; indicating 2 means aren't different when they are

Front

Power of Statistical Test

Back

probability of rejecting a false null hypothesis

Front

P-Value

Back

probability of obtaining results at least as extreme as the observed value

Front

Significance Level

Back

cut off for deciding whether to reject the null hypothesis

Front

Point Estimator

Back

used to estimate a population parameter

Front

Confidence Interval Estimator

Back

range of values that likely contain true population mean

Front

Unbiased Statistics

Back

estimators that on average are equal to the parameters they estimate

Front

When to use T-test?

Back

2 independent, unrelated groups

Front

When to use Paired T-test?

Back

2 related groups