'Observed test statistic' diaporamas de présentation

Introduction to Hypothesis Testing for ?

Introduction to Hypothesis Testing for ?. Research Problem: Infant Touch Intervention Designed to increase child growth/weight Weight at age 2 : Known population: ? = 26 ? = 4 Sample data: n = 16 = 30 Did intervention increase weight?.

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Chapter Thirteen Part I

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Chapter 22

Chapter 22. What Is a Test of Significance?. Thought Question 1.

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Active Learning Lecture Slides For use with Classroom Response Systems

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Chapters 9 (NEW) Intro to Hypothesis Testing

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Lecture 5 Outline: Thu, Sept 18

Lecture 5 Outline: Thu, Sept 18. Announcement: No office hours on Tuesday, Sept. 23rd after class. Extra office hour: Tuesday, Sept. 23rd from 12-1 p.m. Chapter 1.5.4 (additional material on sampling units), 2.1.2, 2.2 Sampling frame and sampling units Paired t-test

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Chapter 20

Chapter 20. Comparing Two Proportions. Two-Sample Problems. The goal of inference is to compare the responses to two treatments or to compare the characteristics of two populations.

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Chapter 6.3

Chapter 6.3. Hypothesis Tests. Idea. Suppose data has been collected to show that a particular effect exists, and the data exhibits a pattern that suggests the effect dose exist. Could the pattern have been produced by variation, without the effect being present at all?.

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Chapter 18

Chapter 18. Two-Sample Problems . Two-Sample Problems. The goal of inference is to compare the responses to two treatments or to compare the characteristics of two populations. We have a separate sample from each treatment or each population.

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INFERENTIAL STATISTICS

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The Scientific Method

The Scientific Method. Formulation of an H ypothesis P lanning an experiment to objectively test the hypothesis Careful observation and collection of D ata from the experiment I nterpretation of the experimental results. Steps in Experimentation. The Well-Planned Experiment. Simplicity

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Adapted from: Wulff HR, Andersen B, Brandenhoff P, Guttler F (1987): What do doctors know about statistics? Statistics i

Suppose we conduct a t-test of the difference between two means and obtain a p-value < .05. Does this mean: There is less than a 5% chance that the results are due to chance.

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STA 291 Spring 2010

STA 291 Spring 2010. Lecture 18 Dustin Lueker. Significance Test. A way of statistically testing a hypothesis by comparing the data to values predicted by the hypothesis Data that fall far from the predicted values provide evidence against the hypothesis. Logical Procedure.

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Hypothesis Tests with Critical Values

Hypothesis Tests with Critical Values. Critical Value:. Based on the alpha level. Use the z or t chart and look it up. This goes on the graph. Reject the Ho if the observed test statistic is bigger than the absolute value of the critical test value.

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Hypothesis Tests with Critical Values

Hypothesis Tests with Critical Values. Critical Value:. Based on the alpha level. Use the z or t chart and look it up. This goes on the graph. Reject the Ho if the observed test statistic is bigger than the absolute value of the critical test value.

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3. Secondary test

p < 0.0001. n.sig. p < 0.0001. -log(p). SNP4. SNP3. SNP8. SNP9. SNP1. SNP2. SNP5. SNP6. SNP7. . . Sliding windows. Rare CVs (<20%). Common CVs (>20%). -log(p). -log(p). Window/block. SNP10. SNP14. SNP15. SNP11. SNP12. SNP13. SNP16. SNP17. SNP4. SNP9. SNP1. SNP2.

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