Set: Statistics chapter 20
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All 7 Terms
| | Term | Definition |
|---|---|---|
| |
whats the 4 step process for testing hypotheses about proportions | 1. Hypotheses; 1-tail or 2-tail | 2. Plan; what inference procedure is called for? | 3. Mechanics; write down the statistics; draw the curve; calculate the value; find the P-value | 4. Conclusion; link the P-value to the decison; reject or fail to reject |
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Null hypothesis | we can never "accept the null hypothesis" because it's probably never true precisely; ex. is the probability of a coin toss to land on 'heads' exactly 50%? we either 'reject' or 'fail to reject' the null hypothesis |
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P-value | the probability of observing a value for a test statistic at least as far from the hypothesized value as the statistic value actually observed if the null hypothesis is true. A small P-value indicates either that the observation is improbable or that the probability calculation was based on incorrect assumptions. the assumed truth of the null hypothesis is the assumption under suspicion |
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one-proportion z test | z = (^p - p0) / SD(^p) || a test of the null hypothesis that the proportion of a single sample equals a specified value |
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alternative hypothesis | the alternative hypothesis proposes what we should conclude if we find the null hypothesis to be unliekly |
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two-sided alternative | an alternative hypothesis is two-sided ( Ha: p ≠ p0 ) when we are interested in deviations in either direction away from the hypothesized parameter value |
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one-sided alternative | an alternative hypothesis is one-sided ( Ha: p > p0 or Ha: p < p0 ) when we are interested in deviations in only one direction away from the hypothesized parameter value |
Set Information
| Terms | 7 |
| Creator | vince |
| Created | March 6, 2008 |
| Group | statistics |
| Tag | statistics |
| Access | Anyone |
| Edit | Creator Only |
Description
Testing hypotheses about proportions