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Statistics Def.
Definitions for Hypothesis Testing
| Part1 | Part2 |
|---|---|
| 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
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