tailieunhanh - Lecture Business statistics in practice (7/e): Chapter 11 - Bowerman, O'Connell, Murphree

Chapter 11 - Statistical inferences for population variances. After mastering the material in this chapter, you will be able to: Explain the basic terminology and concepts of experimental design, compare several different population means by using a one-way analysis of variance, compare treatment effects and block effects by using a randomized block design,. | Statistical Inferences for Population Variances Chapter 11 Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Statistical Inferences for Population Variances The Chi-Square Distribution Statistical Inference for a Population Variance The F Distribution Comparing Two Population Variances by Using Independent Samples 11- The Chi-Square Distribution Sometimes make inferences using the chi-square distribution Denoted ² Skewed to the right Exact shape depends on the degrees of freedom Denoted df A chi-square point ²α is the point under a chi-square distribution that gives right-hand tail area LO11-1: Describe the properties of the chi-square distribution and use a chi-square table. 11- Statistical Inference for Population Variance If s2 is the variance of a random sample of n measurements from a normal population with variance σ2 The sampling distribution of the statistic (n - 1) s2 / σ2 is a . | Statistical Inferences for Population Variances Chapter 11 Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Statistical Inferences for Population Variances The Chi-Square Distribution Statistical Inference for a Population Variance The F Distribution Comparing Two Population Variances by Using Independent Samples 11- The Chi-Square Distribution Sometimes make inferences using the chi-square distribution Denoted ² Skewed to the right Exact shape depends on the degrees of freedom Denoted df A chi-square point ²α is the point under a chi-square distribution that gives right-hand tail area LO11-1: Describe the properties of the chi-square distribution and use a chi-square table. 11- Statistical Inference for Population Variance If s2 is the variance of a random sample of n measurements from a normal population with variance σ2 The sampling distribution of the statistic (n - 1) s2 / σ2 is a chi-square distribution with (n – 1) degrees of freedom Can calculate confidence interval and perform hypothesis testing 100(1-α)% confidence interval for σ2 LO11-2: Use the chi-square distribution to make statistical inferences about population variances. 11- Formulas LO11-2 11- F Distribution LO11-3: Describe the properties of the F distribution and use on F table. Figure 11- F Distribution Tables The F point F is the point on the horizontal axis under the curve of the F distribution that gives a right-hand tail area equal to The value of F depends on a (the size of the right-hand tail area) and df1 and df2 Different F tables for different values of Tables for = Tables for = Tables for = Tables for = LO11-3 11- Comparing Two Population Variances by Using Independent Samples Population 1 has variance σ12 and population 2 has variance σ22 The null hypothesis H0 is that the variances are the .

• Quản trị kinh doanh
• Business Statistics
• Business statistics in practice
• Descriptive statistics
• Statistical inferences
• Population variances
• Statistical inference
• Lecture Business statistics
• Bài giảng Thống kê doanh nghiệp
• Descriptive statistics tabular
• Descriptive statistics graphical presentations
• Summarizing quantitative data
• Essentials of modern business statistics
• Modern business statistics
• Graphical presentations
• numerical measures
• Exploratory data analysis
• Interval estimation
• Hypothesis tests
• Simple linear regression
• Basic statistics
• Statistics for business
• Describing data
• Types of statistics
• Quantitative variables
• Ordinal level data
• Data sources
• Illustrate sampling
• Graphical methods
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• Graphically summarizing qualitative data
• Numerical methods
• Describing central tendency
• Measures of variation
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• Discrete random variables
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• Uniform distribution
• Sampling distributions
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• Sample size determination
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• Sampling distribution
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• Experimental design
• Analysis of variance
• Randomized block design
• Chi square tests
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• Multinomial experiment
• Simple linear regression analysis
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