'Sided hypothesis test' diaporamas de présentation

Introduction to Biostatistics (BIO/EPI 540) Lecture 11: Hypothesis Testing

Introduction to Biostatistics (BIO/EPI 540) Lecture 11: Hypothesis Testing. Acknowledgement: Thanks to Professor Pagano (Harvard School of Public Health) for lecture material. Testing. No human investigation can be called true science without passing through mathematical tests.

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SECTION 12.1

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Chapters 20, 21 Testing Hypotheses about Proportions

Chapters 20, 21 Testing Hypotheses about Proportions Part II: Significance Levels, Type I and Type II Errors, Power. 1. Alpha Levels: a Threshold for the P-value. Sometimes we need to make a firm decision about whether or not to reject the null hypothesis.

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Chapters 20, 21 Testing Hypotheses about Proportions

Chapters 20, 21 Testing Hypotheses about Proportions Part II: Significance Levels, Type I and Type II Errors, Power. 1. Alpha Levels: a Threshold for the P-value. Sometimes we need to make a firm decision about whether or not to reject the null hypothesis.

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Chapters 19, 21 Testing Hypotheses about Proportions

Chapters 19, 21 Testing Hypotheses about Proportions Part II: Significance Levels, Type I and Type II Errors, Power. 1. Alpha Levels: a Threshold for the P-value. Sometimes we need to make a firm decision about whether or not to reject the null hypothesis.

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Chapter 11.1 Inference for the Mean of a Population.

Chapter 11.1 Inference for the Mean of a Population.

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Lecture 11

Lecture 11. One-way analysis of variance (Chapter 15.2). Review: Relat. between One-Sided Hypothesis Tests and CIs. Suppose we are given a CI for For the one-sided hypothesis test versus at significance level , we can conclude

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Pizza Delivery

Pizza Delivery. Pines Pizza claims that on average they deliver in 20 min or less. Design an experiment to test their claim. Remember your three principles of experimental design( control, replication, randomization. What would constitute sufficient evidence that they are wrong in their claim.

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Minitab CI and Hypothesis Tests for a Single Mean

Minitab CI and Hypothesis Tests for a Single Mean. If the data is continuous, we use the t distribution unless ? is known. This is acceptable for large samples since T ( n ) ? Z as n ? ?. We can use Options to select One or two sided hypothesis test and/or CI

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