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[DOC File]Comparison of Schuirmann’s Two One-sided Tests With ...
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Zhou J, He Y, Yuan Y, Comparison of Schuirmann’s Two One-sided Tests With Nonparametric Two One-sided Tests for Non-normal Data in Clinical Pharmacokinetic Drug-Drug Interaction Studies. Online Journal of Pharmacokinetics. 3 : 1-12, 2004.

[DOC File]CHAPTER 8 INTRODUCTION TO HYPOTHESIS TESTING
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One-Sided P-Value = .124. Two-Sided P-Value = .247 Step 1 Identify the population parameters 1 = average return time before the penalization fee 2 = average return time after the penalization fee. Upper-tailed test. Step 2 Determination of the test . The test to be used is a t-test, because the population variance is unknown and n

[DOC File]AP STATISTICS: AGAINST ALL ODDS Name
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6. In general is it better to use a one- or two-sided test? Explain. _____ _____ 7. What is the formula for the test statistic z? _____ 8. What is the probability, computed assuming that H0 is true, that the test statistic would take a value at least. as extreme as that actually observed? _____ 9. Complete the rules for p-values: _____ p-values ...

[DOC File]The reasoning of tests of significance
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The data are the differences (score before storage minus score after storage) in the tasters’ scores. The bigger the differences between the two tests, the bigger the loss of sweetness. 2.0 0.4 0.7 2.0 -0.4 2.2 -1.3 1.2 1.1 2.3 Are these data good evidence that the cola lost sweetness in storage? A test of significance asks:

[DOC File]Section 1 - b-g.k12.ky.us
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one-sided: μ > 0 or μ < 0 (which allows a statistician to detect movement in a specific direction) two-sided: μ ( 0 (things have changed) Read the problem statement carefully to decide which is appropriate . The null hypothesis is usually “=“, but if the alternative is one-sided, the null could be too. Conditions for Significance Tests. SRS

[DOC File]SIGN TEST (NONPARAMETRIC)
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One- or two-sided tests are possible (for positive or negative dependence). Rejection of H0 means that there is a statistically significant dependency, which may make better-than-chance forecasts possible.

[DOC File]Hypothesis Testing:
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Handout 9 (Chapter 9): Inferences Based on Two Samples. TESTS. One-sided (One tailed) test: Lower tailed: H0: population characteristics ( claimed constant value (Left-sided) Ha: population characteristics < claimed constant value. Upper tailed: H0: population characteristics ( claimed constant value

[DOC File]Rossman/Chance
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(Pay particular attention to whether this is a one-sided or a two-sided test.) (b) Let the random variable X represent the number of males that show “rock” as their first choice. What distribution does X follow if the null hypothesis is true? Explain. (c) Suppose 23 men choose rock first. Determine the p-value from these data, and indicate ...

[DOC File]Chapter 3: Describing Relationships (first spread)
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Test statistic t = 1.23. P-value Since the P-value in the computer output is for a two-sided test, we must cut it in half for a one-sided test. P = 0.247/2 = 0.1235 using df = 12 – 2 = 10. Conclude: Since the P-value is larger than 0.05, we fail to reject . We do not have convincing evidence that parties who stay longer at buffets leave ...

[DOC File]Name:
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For the hypothesis test of a parameter, must equal . All of these are correct. 10) In a hypothesis test, the decision between a one-sided and a two-sided alternative hypothesis is based on. which one gives you a significant result. the alternative hypothesis appropriate for the context of the problem. how accurate you wish the results of the test.

[DOC File]Hypothesis Testing Methods to test
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test statistic. to measure strength of evidence) This method creates a feasible region for the test statistic assuming H0 is true. If the feasible region for the test statistic contains the value of the test statistic computed from the sample data then H0 is concluded as being true.

[DOC File]Hypothesis Testing Methods to test
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HA: < This a one-sided test. 1. Confidence Interval Method {You will not be expected to use this method for 1-tailed tests} The feasible region for the unknown parameter opened to the left. (-, upper limit) 2. Critical Value Method. The rejection region is on the left of the distribution of the Test Statistic. 3. p-value Method

One or two sided test