'Rejection region' diaporamas de présentation

Statistical Inference and Regression Analysis: Stat-GB.3302.30, Stat-UB.0015.01

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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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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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Correlation and Regression

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6.3 One- and Two- Sample Inferences for Means

6.3 One- and Two- Sample Inferences for Means. If ? is unknown. Estimate ? by sample standard deviation s The estimated standard error of the mean will be Using the estimated standard error we have a confidence interval of

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Simple Hypothesis Testing

Simple Hypothesis Testing. Detecting Statistical Differences In The Simplest Case: ? and ? are both known I The Logic of Hypothesis Testing: The Null Hypothesis II The Tail Region, Critical Values: ? III Type I and Type II Error. The Fundamental Idea.

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OAD30763 Statistics in Business and Economics

Week 5 Dr. Jenne Meyer. OAD30763 Statistics in Business and Economics. Article Reviews. Article review. Hypothesis Testing. 5-Step Hypothesis Testing Procedure Step 1: Set up the null and alternative hypotheses.

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Chapter 2

Chapter 2. Hypothesis Testing Test for one and two means Test for one and two proportions. Hypothesis Tests: An Introduction. We test a certain given theory / belief about population parameter.

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Power and Sample Size

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Statistics and Data Analysis

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Statistical Inference on Two Populations

Statistical Inference on Two Populations. Many real world problems involve the comparison of 2 populations Examples: Medical trial in which participants are randomly assigned a drug or a placebo Quality control testing that compares lifetime of product A to product B

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Section 10.2

Section 10.2. Independence. Section 10.2 Objectives. Use a contingency table to find expected frequencies Use a chi-square distribution to test whether two variables are independent. Contingency Tables. r ? c contingency table Shows the observed frequencies for two variables.

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7.2 Hypothesis Testing for the Mean (Large Samples)

7.2 Hypothesis Testing for the Mean (Large Samples). Find P -value and use them to test a mean ? Use P -values for a z -test Find critical values and rejection regions Use rejection regions for a z -test.

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Experiments

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Section 7.3

Section 7.3. Hypothesis Testing for the Mean (Small Samples). Section 7.3 Objectives. Find critical values in a t -distribution Use the t -test to test a mean ? Use technology to find P -values and use them with a t -test to test a mean ?. Finding Critical Values in a t -Distribution.

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Where we are going : a graphic: Hypothesis Testing.

Where we are going : a graphic: Hypothesis Testing. Samples. 1 2 Paired 2 or more. Ho: / CI. Ho: / CI. Ho: / CI. Means Variances Proportions Categories Slopes. Ho: / CI. Ho: / CI. Ho: / CI. Ho: / CI. Ho: / CI. Ho:. Ho:. Ho: / CI.

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STA 291 Fall 2009

STA 291 Fall 2009. Lecture 19 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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Economics 105: Statistics

Economics 105: Statistics. Go over GH 9 & 10 GH 11 and 12 due Tuesday. Level of Significance, ?. Defines the unlikely values of the sample statistic if the null hypothesis is true Defines rejection region of the sampling distribution Is designated by ? , (level of significance)

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The Kruskal-Wallis H Test

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7.5 Hypothesis Testing for Variance and Standard Deviation

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