'Type ii error occurs' presentation slideshows

Chapter 7

Chapter 7. Hypothesis Testing with One Sample. Chapter Outline. 7.1 Introduction to Hypothesis Testing 7.2 Hypothesis Testing for the Mean (Large Samples) 7.3 Hypothesis Testing for the Mean (Small Samples) 7.4 Hypothesis Testing for Proportions

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Chapter 7

Chapter 7. Hypothesis Testing with One Sample. Chapter Outline. 7.1 Introduction to Hypothesis Testing 7.2 Hypothesis Testing for the Mean (Large Samples) 7.3 Hypothesis Testing for the Mean (Small Samples) 7.4 Hypothesis Testing for Proportions

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Chapter Fifteen

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Chapter 7: Statistical Analysis Data Treatment and Evaluation

Chapter 7: Statistical Analysis Data Treatment and Evaluation. In statistical tests to determine whether two quantities are the same, two types of errors are possible: A type I error occurs when we reject the hypothesis that two quantities are the same when they are statistically identical.

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Chapter 11 (and part of 12.1 and 12.3)

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Review #2

Review #2. Chapter 9 Chapter 10 Chapter 11 Chapter 12. Chapter 9. A statistic is a random variable describing a characteristic of a random samples. Sample mean Sample variance

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Chapter 7

Chapter 7. Hypothesis Testing with One Sample. Chapter Outline. 7.1 Introduction to Hypothesis Testing 7.2 Hypothesis Testing for the Mean (Large Samples) 7.3 Hypothesis Testing for the Mean (Small Samples) 7.4 Hypothesis Testing for Proportions

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Section 7.1

Introduction to Hypothesis Testing. Section 7.1. Section 7.1 Objectives. State a null hypothesis and an alternative hypothesis Identify type I and type I errors and interpret the level of significance Determine whether to use a one-tailed or two-tailed statistical test and find a p -value

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Ch7: Hypothesis Testing (1 Sample)

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Introduction to Data Analysis.

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Ch 11 ?? (2)

Ch 11 ?? (2). A Two - Tail Test. Example 11.2 AT&T has been challenged by competitors who argued that their rates resulted in lower bills.

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Chapter 5 Inference in the Simple Regression Model

Chapter 5 Inference in the Simple Regression Model. In this chapter we study how to construct confidence intervals and how to conduct hypothesis tests using the simple regression model from Chapters 3 and 4. Concepts for review: The estimators b 1 and b 2 are random variables where.

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Hypothesis Testing

Hypothesis Testing. A hypothesis is a conjecture about a population. Typically, these hypotheses will be stated in terms of a parameter such as m (mean) or p (proportion). A test of hypothesis is a statistical procedure used to make a decision about the conjectured value of a parameter.

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One-Sample t-test

One-Sample t-test. What do these problems we have been working on have in common?.

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Lesson 15 - 1

Lesson 15 - 1. Nonparametric Statistics Overview. Objectives. Understand Difference between Parametric and Nonparametric Statistical Procedures Nonparametric methods use techniques to test claims that are distribution free. Vocabulary.

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Statistics and Data Analysis

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Statistics and Data Analysis

71 views • 6 slides