'Alternative hypotheses' diaporamas de présentation

IE241: Introduction to Hypothesis Testing

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CHAPTER 9:

CHAPTER 9:. HYPOTHESIS TESTS ABOUT THE MEAN AND PROPORTION. HYPOTHESIS TESTS: AN INTRODUCTION. Two Hypotheses Rejection and Nonrejection Regions Two Types of Errors Tails of a Test. Two Hypotheses. Definition

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I ntroduction: C ausal theories and interrelationships between measures of disease occurrence

I ntroduction: C ausal theories and interrelationships between measures of disease occurrence. Lydia B. Zablotska, MD, PhD Associate Professor Department of Epidemiology and Biostatistics. Learning Objectives. Discuss how causal inference is central to the role of epidemiology

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Alternative Interpretations Dr Louise McKenna Deputy Director Forensic Science Laboratory Dublin Ireland

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Chapter 12

12-1. Chapter 12. Chi-Square and Analysis of Variance (ANOVA). Outline. 12-2. 12-1 Introduction 12-2 Test for Goodness of Fit 12-3 Tests Using Contingency Tables 12-4 Analysis of Variance (ANOVA). Objectives. 12-3. Test a distribution for goodness of fit using chi-square.

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Single Sample Inferences

Single Sample Inferences. Greg C Elvers. Single Samples. A single sample implies that you have collected data from one group of people or objects You have not collected data from a comparison, or control, group

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Chapter 9

Chapter 9. Hypothesis Testing Null and Alternative Hypotheses and Errors in Testing Large Sample Tests about a Mean: Rejection Points Small Sample Tests about a Population Mean Hypothesis Tests about a Population Proportion. Introduction. A Hypothesis Test is a statistical procedure

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Basics of Linkage Analysis

Idea of Linkage Analysis Types of Linkage Analysis Parametric Linkage Analysis Nonparametric Linkage Analysis Conclusions. Basics of Linkage Analysis. Idea of Linkage Analysis Types of Linkage Analysis Parametric Linkage Analysis Nonparametric Linkage Analysis Conclusions.

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Regression Analysis

Regression Analysis. Regression analysis. Definition: Regression analysis is a statistical method for fitting an equation to a data set. It is used to estimate demand, production and cost equations. A regression equation can be used for forecasting purposes, i.e.,

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Educational Research

Educational Research. Chapter 12 Inferential Statistics Gay, Mills, and Airasian. Topics Discussed in this Chapter. Concepts underlying inferential statistics Types of inferential statistics Parametric T tests ANOVA One-way Factorial Post-hoc comparisons Multiple regression ANCOVA

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Statistics for bioinformatics

Statistics for bioinformatics. Filtering microarray data. Aims of filtering. Suppose We have a set of 10000 genes whose expression is measured on our microarray chips. We are looking at an experiment where gene expression is measured in 11 cancer patients and 7 normal individuals.

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Chapter 20 Testing Hypothesis about proportions

Chapter 20 Testing Hypothesis about proportions. Example: Metal Manufacturer Ingots 20% defective (cracks) After Changes in the casting process: 400 ingots and only 17% defective Is this a result of natural sampling variability or there is a reduction in the cracking rate?. Hypotheses.

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Chapter 8

Chapter 8. Introduction to Hypothesis Testing. Chapter 8 - Chapter Outcomes. After studying the material in this chapter, you should be able to: Formulate null and alternative hypotheses for applications involving a single population mean, proportion, or variance.

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MARLAP Chapter 20 Detection and Quantification Limits

MARLAP Chapter 20 Detection and Quantification Limits. Keith McCroan Bioassay, Analytical & Environmental Radiochemistry Conference 2004. Overview. Chapter 20 of MARLAP deals with issues of analyte detection as well as measures of detection capability and quantification capability

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8.3 Testing the Difference Between Means (Dependent Samples)

8.3 Testing the Difference Between Means (Dependent Samples). Statistics Mrs. Spitz Spring 2009. Objectives/Assignment. How to decide whether two samples are independent or dependent How to perform a t-test to test the mean of the differences for a population of paired data

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Hypothesis Testing

Hypothesis Testing. After 2 hours of frustration trying to fill out an IRS form, you are skeptical about the IRS claim that the form takes 15 minutes on average to complete. How would you challenge the IRS claim?. Methods to Test a Claim.

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Confidence intervals

Confidence intervals. Summer program Brian Healy. Last class. Central limit theorem Hypothesis testing Null and Alternative hypotheses Test statistic p-value Conclusion. What are we doing today?. Confidence interval Comparison between confidence interval and hypothesis testing

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Generalised linear models

Generalised linear models. Generalised linear model Exponential family Example: Log-linear model - Poisson distribution Example: logistic model- Binomial distribution Deviances Model selection R commands for generalised linear models. Shortcomings of general linear model.

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Welcome to Econ 420 Applied Regression Analysis

Welcome to Econ 420 Applied Regression Analysis. Study Guide Week Fourteen. Answer Key to Asst 11 (40 points). # 10, Page 157

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