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    Cover Page
    Title Page
    Copyright
    About the Preliminary Edition
    2: Describing Data Graphically and Numerically
    Contents
    PREFACE
    Chapter 1: Introduction
    Chapter 2: Describing Data Graphically and Numerically
    Chapter 3: Elements of Probability
    Chapter 4: Discrete Random Variables and Some Important Discrete Probability Distributions
    Chapter 5: Continuous Random Variables and Some Important Continuous Probability Distributions
    Chapter 6: Distribution of Functions of Random Variables
    Chapter 7: Sampling Distributions
    Chapter 8: Estimation of Population Parameters
    Chapter 9: Hypothesis Testing
    9.1 Introduction
    9.2 Basic Concepts of Testing a Statistical Hypothesis
    9.3 Tests Concerning the Mean of a Normal Distribution Having Known Variance Case of a Left-Sided (One-Tail) Test
    9.4 Tests Concerning the Mean of a Normal Population Having Unknown Variance
    9.5 Large Sample Theory
    9.6 Tests Concerning the Difference of Means of Two Populations Having Distributions with Known Variances
    9.7 Tests Concerning the Difference of Means of Two Populations Having Distributions with Unknown Variances
    9.8 Testing Population Proportions
    9.9 Tests Concerning the Variance of a Normal Distribution
    9.10 Tests Concerning the Ratio of Variances of Two Normal Populations
    9.11 An Alternative Technique for Testing of Statistical Hypotheses: Using Confidence Intervals
    9.12 Sequential Tests of Hypotheses (Optional)
    9.13 Case Studies
    9.14 Using JMP
    Review Practice Problems
    Chapter 10: Elements of Reliability Theory
    Chapter 11: Statistical Quality Control and Phase I Control Charts
    Chapter 12: Statistical Quality Control and Phase II Control Charts
    Chapter 13: Analysis of Categorical Data
    Chapter 14: Nonparametric Tests
    Chapter 15: Simple Linear Regression Analysis
    Chapter 16: Multiple Linear Regression Analysis
    Chapter 17: Analysis of Variance
    Chapter 18: The 2 k Factorial Designs
    Chapter 19: Response Surfaces
    Appendices
    Index
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    Chapter 9: Hypothesis Testing

    Chapter 9

    Hypothesis Testing

    The focus of this chapter is a discussion of testing of statistical hypotheses. The topics covered are:

    • Basic concepts of testing of statistical hypotheses
    • Tests concerning the mean of a normal distribution when variance is known
    • Tests concerning the mean of a normal distribution when variance is unknown
    • Tests concerning population means when sample size is large
    • Tests concerning the difference of means of two populations with known variances
    • Tests concerning the difference of means of two populations with unknown variances
    • The paired t-test
    • Testing concerning the one and two population proportions when sample size is large
    • Tests concerning the variance of a normal distribution
    • Tests concerning the ratio of variances of two normal populations

      

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