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Statistics Def.

Definitions for Hypothesis Testing

Part1Part2
Hypothesis Test pertaining to one population for testing a claim about some parameter of the population.
Null Hypothesis a statement that the value of a population parameteris equal to some value.
Alternative Hypothesis a statement that the population parameter has a value that somehow differs from the value in the null hypothesis.
Test Statistic a value that is computed from a sample data.
Traditional Method invloves critical values and critical regions.
P-value Method involves the calculation of a P-value.
Critical Region a set of values of the test statistic that causes us to reject the null hypothesis.
Significance Level the probability that the test statistic will fall in the critical region when the null hypothesis is actually true.
Critical Value the value that separates the critical region from the non-critical region.
Two-Tailed if the sign is H1is not = to.
Right-Tailed if the sign is H1>.
Left-Tailed if the sign is H1<.
P-Value the probability of getting a value of the test statistic that is at least as extreme as the one representing the sample data, assuming the null hypothesis is true.
Type I Error if the null hypothesis is true, but we reject it.
Type II Error if the null hypothesis is false, but we fail to reject it.
Created by: isaxo