Summary of Hypothesis testing: One tailed and two tailed tests
One tailed and two tailed tests
The cutoff p-value that defines statistical significance must be determined before starting any study. The area under the curve, representing the alpha error, is called the critical region(s). This area can be at both extremes of the curve i.e., two-tailed or at one extreme i.e., one-tailed. Observations outside the critical region(s) are considered statistically insignificant.
Flashcards on Hypothesis testing: One tailed and two tailed tests
Hypothesis testing: One tailed and two tailed tests
One-tailed tests (increase/decrease) the chance that the results will reach statistical significance at one extreme of events, but risk missing other significant data at the other extreme.