'Hypothesis test' diaporamas de présentation

Some Topics in Statistical Data Analysis

Some Topics in Statistical Data Analysis. Invisibles School IPPP Durham July 2013. Glen Cowan Physics Department Royal Holloway, University of London g.cowan@rhul.ac.uk www.pp.rhul.ac.uk/~cowan. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A.

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Chapter 9 Introduction to Hypothesis Testing

Business Statistics: A Decision-Making Approach 8 th Edition. Chapter 9 Introduction to Hypothesis Testing. Chapter Goals. After completing this chapter, you should be able to: Formulate null and alternative hypotheses involving a single population mean or proportion

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Introduction to Hypothesis Testing

Introduction to Hypothesis Testing. Chapter 11. Developing Null and Alternative Hypotheses. Hypothesis testing can be used to determine whether a statement about the value of a population parameter should or should not be rejected.

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Section 12.1

Section 12.1. Scatter Plots and Correlation. Objectives. Construct and interpret scatter plots. Calculate and interpret the correlation between two variables. . Table . Table (cont.) .

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Using Randomization Methods to Build Conceptual Understanding of Statistical Inference: Day 2

Using Randomization Methods to Build Conceptual Understanding of Statistical Inference: Day 2. Lock, Lock, Lock, Lock, and Lock Minicourse - Joint Mathematics Meetings Boston, MA January 2012. Cocaine Addiction.

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Sections 7-1 and 7-2

Sections 7-1 and 7-2. Overview Basics of Hypothesis Testing. HYPOTHESIS TESTING. In statistics, a hypothesis is a claim or statement about a property of a population.

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Boundless Lecture Slides

Boundless Lecture Slides. Available on the Boundless Teaching Platform. Free to share, print, make copies and changes. Get yours at www.boundless.com. Using Boundless Presentations. Boundless Teaching Platform

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Inference about Variables: Part III Review

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7.1 Introduction to Hypothesis Testing

7.1 Introduction to Hypothesis Testing. State a null and alternative hypotheses Type I and Type II Errors and interpretations of Level of Significance How to find P -value and when to use a one or two-tailed test Make and interpret a decision based on statistical testing

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Chapter 11

Chapter 11. Inferences about population proportions using the z statistic. The Binomial Experiment . Situations that conform to a binomial experiment include: There are n observations Each observation can be classified into 1 of 2 mutually exclusive and exhaustive outcomes

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Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). A single-factor ANOVA can be used to compare more than two means.

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Probability and Statistics ( week -10)

Probability and Statistics ( week -10). Onur DO?AN. Hypothesis Testing. Test Regions. Test Errors. Hypothesi s Testing Procedure. Tests on the Mean of a Normal Distribution, Variance Known. Example. .sdf. Relationship Between CI and Hypothesis Test. Tests on a Population Proportion.

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Cell Phone Bills

Cell Phone Bills. Rustie Wayne Madisen Christenson Skyler Young Kathleen Harris Markell Beazer. How much are you spending?.

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Introduction to Inference

Introduction to Inference. Statistical Hypotheses. Statistical Hypotheses are statements about population parameters. Hypotheses are not necessarily true. Examples of Hypotheses. mean weight of adult males is greater than 160 pounds

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STA 291 Spring 2010

STA 291 Spring 2010. Lecture 21 Dustin Lueker. Example. If the null hypothesis is rejected at a 2% level of significance, will the null be rejected at a 5% level of significance? Yes No Maybe. Example.

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2-Sample t-test -- Examples

2-Sample t-test -- Examples. Do mean test scores differ between two sections of a class? Does the average number of yew per m 2 differ between areas exposed to and areas protected from moose browsing?

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Module 24: One-sided, One-tailed Tests

Module 24: One-sided, One-tailed Tests. This module discusses the difference between two-sided and one-sided hypothesis tests. Reviewed 19 July 05/MODULE 24. One-Sided or One-Tailed Hypothesis Tests

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Section 9.2: What is a Test of Significance?

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Chapter 24

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