'Tailed test' diaporamas de présentation

Chapter

Chapter. 10. Hypothesis Tests Regarding a Parameter. Section. 10.1. The Language of Hypothesis Testing. Determine the null and alternative hypotheses Explain Type I and Type II errors State conclusions to hypothesis tests. Objectives.

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Chapter 9

9-1. Chapter 9. Hypothesis Testing. Outline. 9-2. 9-1 Introduction 9-2 Steps in Hypothesis Testing 9-3 Large Sample Mean Test 9-4 Small Sample Mean Test 9-5 Proportion Test. Outline. 9-3. 9-6 Variance or Standard Deviation Test

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Section 10.2

Section 10.2. Hypothesis Testing for Population Means ( s Known). With valuable content added by D.R.S., University of Cordele. Objectives. Use the rejection region to draw a conclusion. Use the p -value to draw a conclusion. There are two ways to get the answer and we learn BOTH.

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Statistics

Statistics. A Word on Statistics - Wislawa Szymborska. Led to error by youth (which passes): sixty, plus or minus. Those not to be messed with: four-and-forty. Living in constant fear of someone or something: seventy-seven. Capable of happiness: twenty-some-odd at most. Harmless alone,

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Section 10.2

Section 10.2. Hypothesis Testing for Population Means ( s Known). With valuable content added by D.R.S., University of Cordele. Two ways to do reach a conclusion. Use the rejection region to draw a conclusion. Use the p -value to draw a conclusion.

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Everything You Ever wanted To Know About Statistics

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MBA Statistics 51-651-00 COURSE #2

MBA Statistics 51-651-00 COURSE #2. Do we have winning conditions? Decision making from statistical inference. Very often, a decision is taken following a quantitative analysis of certain parameters.

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Chapter 10

Chapter 10. One-Sample Tests of Hypothesis. Goals. Define a hypothesis and hypothesis testing Describe the five step hypothesis testing procedure Distinguish between a one-tailed and a two-tailed test of hypothesis. Goals. Conduct a test of hypothesis about a population mean

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Hypothesis Testing:

Hypothesis Testing:. Inferential statistics. These will help us to decide if we should:. 1) believe that the relationship we found in our sample data is the same as the relationship we would find if we tested the entire population. OR.

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IS 310 Business Statistics CSU Long Beach

IS 310 Business Statistics CSU Long Beach. Inferences About Population Variances. Previously, we have made inferences about population means and proportions . We can make similar inferences about population variances . Examples:

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Statistical Techniques I

Statistical Techniques I. EXST7005. The F distribution. This test can be used to either, test the equality of population variances - our present topic test the equality of population means (this will be discussed later under ANOVA)

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Chapter 10

Chapter 10. AP Statistics St. Francis High School Fr. Chris. Introduction to Inference. 1. Estimating with Confidence. 2. Tests of Significance. 3. Using Significance Tests. 4. Inference as a Decision. Confidence Interval. Two parts: the estimate and the confidence level

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Chapter Nine Part 2 (Sections 9.3) Hypothesis Testing

Understandable Statistics S eventh Edition By Brase and Brase Prepared by: Lynn Smith Gloucester County College. Chapter Nine Part 2 (Sections 9.3) Hypothesis Testing. The P Value.

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MATH221

MATH221. Integrated Learning System Power Point Lecture Week 5 Hypothesis Testing. Hypothesis Testing for the Mean: Small Samples.

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Section 8-5 Testing a Claim About a Mean: ? Not Known

Section 8-5 Testing a Claim About a Mean: ? Not Known. Key Concept. This section presents methods for testing a claim about a population mean when we do not know the value of ? . The methods of this section use the Student t distribution introduced earlier.

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Testing a Claim about a Proportion

Testing a Claim about a Proportion. Assumptions The sample was a simple random sample The conditions for a binomial distribution are satisfied Both np ? 5 and nq ? 5 Test Statistic:. Step-by-step through an example:.

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Section 9.2 ~ Hypothesis Tests for Population Means

Section 9.2 ~ Hypothesis Tests for Population Means. Introduction to Probability and Statistics Ms. Young. Objective. Sec. 9.2.

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Example 10.2 Measuring Student Reaction to a New Textbook

Example 10.2 Measuring Student Reaction to a New Textbook. Hypothesis Tests for a Population Mean. Objective. To use a one-sample t test to see whether students like the new textbook any more or less than the old textbook. Background Information.

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Introduction to Testing a Hypothesis

Introduction to Testing a Hypothesis. Testing a treatment. Descriptive statistics cannot determine if differences are due to chance. A sampling error occurs when apparent differences are by chance alone. Example of Differences due to chance alone. Examples:.

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