'Left tailed test' diaporamas de présentation

Chapter 8

Chapter 8. Hypothesis Testing. Chapter 8 Overview. Introduction 8-1 Steps in Hypothesis Testing-Traditional Method 8-2 z Test for a Mean 8-3 t Test for a Mean 8-4 z Test for a Proportion 8-5 Test for a Variance or Standard Deviation

1.11k views • 110 slides

Chapter 11

Chapter 11. Nonparametric Tests. Chapter Outline. 11.1 The Sign Test 11.2 The Wilcoxon Tests 11.3 The Kruskal-Wallis Test 11.4 Rank Correlation 11.5 The Runs Test. Section 11.1. The Sign Test. Section 11.1 Objectives. Use the sign test to test a population median

2.38k views • 94 slides

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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Section 10.2

Section 10.2. Hypothesis Testing for Population Means ( s Known). Objectives. Use the rejection region to draw a conclusion. Use the p -value to draw a conclusion. Hypothesis Testing for Population Means ( s Known).

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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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Section 10.3

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Chapter 9

Chapter 9. Hypothesis Testing. Hypothesis. Hypothesis is a statement about a certain population parameter. It is usually about a parameter equal to (not equal to), less than or equal to ( greater than), greater than or equal to(or less than) some given number.

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Section 7.2

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

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Introduction to Hypothesis Testing

Introduction to Hypothesis Testing. MARE 250 Dr. Jason Turner. Hypothesis Testing. We use inferential statistics to make decisions or judgments about data values Hypothesis testing is the most commonly used method

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Section 8.3 Testing a claim about a Proportion

Section 8.3 Testing a claim about a Proportion. Objective For a population with proportion p , use a sample (with a sample proportion) to test a claim about the proportion. Testing a proportion uses the standard normal distribution ( z -distribution). Notation.

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Econ 3790: Business and Economic Statistics

Econ 3790: Business and Economic Statistics. Instructor: Yogesh Uppal Email: yuppal@ysu.edu. Chapter 11 Inferences About Population Variances. Inference about a Population Variance. Chi-Square Distribution Interval Estimation of ?? 2 Hypothesis Testing.

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Hypothesis Testing with One Sample

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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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Hypothesis Testing (Decisions on Means, Proportions and Variances)

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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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