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System Maintainability Modeling & Analysis

System Maintainability Modeling & Analysis

Systems Reliability, Supportability and Availability Analysis. System Maintainability Modeling & Analysis. Why Do Maintainability Modeling and Analysis?. To identify the important issues To quantify and prioritize these issues To build better design and support systems. Bottoms Up Models.

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1.17k views • 80 slides
Hypothesis Testing

Hypothesis Testing

Hypothesis Testing. 9. 5 Sections:. 9.1 Introduction to Statistical Tests 9.2 Testing the Mean ? 9.3 Testing a Proportion p 9.4 Tests Involving Paired Differences (Dependent Samples) 9.5 Testing and ( Independent Samples). Section 9.1.

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666 views • 52 slides
Applied Business Statistics, 7 th ed. by Ken Black

Applied Business Statistics, 7 th ed. by Ken Black

Applied Business Statistics, 7 th ed. by Ken Black. Chapter 8 Statistical Inference: Estimation for Single Populations. Learning Objectives. Estimate a population mean from a sample mean when s is known. Estimate a population mean from a sample mean when s is unknown.

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454 views • 42 slides
INFERENTIAL STATISTICS

INFERENTIAL STATISTICS

INFERENTIAL STATISTICS. By using the sample statistics, researchers are usually interested in making inferences about the population. This branch of statistics is referred to as INFERENTIAL STATISICS. INFERENTIAL STATISICS Estimation Hypothesis testing. Sampling Distribution.

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443 views • 38 slides
Chapter 7: Statistical Applications in Traffic Engineering

Chapter 7: Statistical Applications in Traffic Engineering

Chapter 7: Statistical Applications in Traffic Engineering. Chapter objectives: By the end of these chapters the student will be able to (We spend 3 lecture periods for this chapter. We do skip simple descriptive stats because they were covered in CE361.):. Introduction.

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413 views • 28 slides
Vital Statistics Probability and Statistics for Economics and Business

Vital Statistics Probability and Statistics for Economics and Business

Vital Statistics Probability and Statistics for Economics and Business. William H. Sandholm University of Wisconsin-Madison. Brett A. Saraniti Northwestern University. Chapter 6. Continuous Random Variables and Distributions. Figure 6 .1: A fair spinner.

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458 views • 27 slides
Chap 4. The Normal Approximation

Chap 4. The Normal Approximation

Chap 4. The Normal Approximation. Unit Transformation The Normal Distribution Curve Areas under the Normal Curve The Normal Approximation for Data Percentiles Interquartile and Box Plot Percentiles and the Normal Curve. Unit Transformation. The Normal Distribution Curve. Percentiles.

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361 views • 25 slides
ANATOMY OF A CONFIDENCE INTERVAL FOR A POPULATION PROPORTION (p)

ANATOMY OF A CONFIDENCE INTERVAL FOR A POPULATION PROPORTION (p)

ANATOMY OF A CONFIDENCE INTERVAL FOR A POPULATION PROPORTION (p). The (1 - a )100% confidence interval for p , a population proportion, is obtained using the following formula.

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128 views • 1 slides

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