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Definitions for Hypothesis Testing

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