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# Introductory Statistics, 10th Edition By Neil A. Weiss EBOOK PDF Instant Download

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Introductory Statistics, 10th Edition By Neil A. Weiss EBOOK PDF Instant Download

PART I: Introduction
1. The Nature of Statistics
Case Study: Top Films of All Time
1.1 Statistics Basics
1.2 Simple Random Sampling
1.3 Other Sampling Designs?
1.4 Experimental Designs?
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
PART II: Descriptive Statistics
2. Organizing Data
Case Study: World’s Richest People
2.1 Variables and Data
2.2 Organizing Qualitative Data
2.3 Organizing Quantitative Data
2.4 Distribution Shapes
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
3. Descriptive Measures
Case Study: The Beatles’ Song Length
3.1 Measures of Center
3.2 Measures of Variation
3.3 Chebyshev’s Rule and the Empirical Rule?
3.4 The Five-Number Summary; Boxplots
3.5 Descriptive Measures for Populations; Use of Samples
Chapter in Review
Review Problems
Focusing on Data
Analysis
Case Study Discussion
Biography
PART III: Probability, Random Variables, and Sampling Distributions
4. Probability Concepts
Case Study: Texas Hold’em
4.1 Probability Basics
4.2 Events4.3 Some Rules of Probability
4.4 Contingency Tables; Joint and Marginal Probabilities?
4.5 Conditional Probability?
4.6 The Multiplication Rule; Independence?
4.7 Bayes’s Rule?
4.8 Counting Rules?
Chapter in Review 218
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography 5. Discrete Random Variables?
Case Study: Aces Wild on the Sixth at Oak Hill
5.1 Discrete Random Variables and Probability Distributions?
5.2 The Mean and Standard Deviation of a Discrete Random Variable?
5.3 The Binomial Distribution?
5.4 The Poisson Distribution?
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
6. The Normal Distribution
Case Study: Chest Sizes of Scottish Militiamen
6.1 Introducing Normally Distributed Variables
6.2 Areas under the Standard Normal Curve
6.3 Working with Normally Distributed Variables
6.4 Assessing Normality; Normal Probability Plots
6.5 Normal Approximation to the Binomial Distribution?
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
7. The Sampling Distribution of the Sample Mean
Case Study: The Chesapeake and Ohio Freight Study
7.1 Sampling Error; the Need for Sampling Distributions
7.2 The Mean and Standard Deviation of the Sample Mean
7.3 The Sampling Distribution of the Sample Mean
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography PART IV: Inferential Statistics
8. Confidence Intervals for One Population Mean
Case Study: Bank Robberies: A Statistical Analysis
8.1 Estimating a Population Mean
8.2 Confidence Intervals for One Population Mean When ? Is Known8.3 Confidence Intervals for One Population Mean When ? Is Unknown Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography 9. Hypothesis Tests for One Population Mean
Case Study: Gender and Sense of Direction
9.1 The Nature of Hypothesis Testing
9.2 Critical-Value Approach to Hypothesis Testing
9.3 P-Value Approach to Hypothesis Testing
9.4 Hypothesis Tests for One Population Mean When ? Is Known
9.5 Hypothesis Tests for One Population Mean When ? Is Unknown
9.6 The Wilcoxon Signed-Rank Test?9.7 Type II Error Probabilities; Power?
9.8 Which Procedure Should Be Used??? Chapter in Review Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
10. Inferences for Two Population Means
Case Study: Dexamethasone Therapy and IQ
10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
10.4 The Mann—Whitney Test?
10.5 Inferences for Two Population Means, Using Paired Samples10.6 The Paired Wilcoxon Signed-Rank Test?
10.7 Which Procedure Should Be Used???
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
11. Inferences for Population Standard Deviations?
Case Study: Speaker Woofer Driver Manufacturing
11.1 Inferences for One Population Standard Deviation?
11.2 Inferences for Two Population Standard Deviations, Using Independent Samples?
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
12. Inferences for Population Proportions
Case Study: Arrested Youths
12.1 Confidence Intervals for One Population Proportion12.2 Hypothesis Tests for One Population Proportion
12.3 Inferences for Two Population Proportions
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
13. Chi-Square Procedures
Case Study: Eye and Hair Color
13.1 The Chi-Square Distribution
13.2 Chi-Square Goodness-of-Fit Test
13.3 Contingency Tables; Association
13.4 Chi-Square Independence Test
13.5 Chi-Square Homogeneity Test
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
PART V: Regression, Correlation, and ANOVA
14. Descriptive Methods in Regression and Correlation
Case Study: Healthcare: Spending and Outcomes
14.1 Linear Equations with One Independent Variable
14.2 The Regression Equation
14.3 The Coefficient of Determination
14.4 Linear Correlation
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
15. Inferential Methods in Regression and Correlation
Case Study: Shoe Size and Height
15.1 The Regression Model; Analysis of Residuals1
5.2 Inferences for the Slope of the Population Regression Line
15.3 Estimation and Prediction
15.4 Inferences in Correlation
15.5 Testing for Normality??
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
16. Analysis of Variance (ANOVA)
Case Study: Self-Perception and Physical Activity
16.1 The F-Distribution16.2 One-Way ANOVA: The Logic
16.3 One-Way ANOVA: The Procedure
16.4 Multiple Comparisons?
16.5 The Kruskal—Wallis Test?
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography PART VI: Multiple Regression and Model Building; Experimental Design and ANOVA?? MODULE A: Multiple Regression Analysis
Case Study: Automobile Insurance Rates
A.1 The Multiple Linear Regression Model
A.2 Estimation of the Regression Parameters
A.3 Inferences Concerning the Utility of the Regression Model
A.4 Inferences Concerning the Utility of Particular Predictor Variables
A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response
A.6 Checking Model Assumptions and Residual
AnalysisModule in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Index
MODULE B: Model Building in Regression
Case Study: Automobile Insurance Rates–Revisited
B.1 Transformations to Remedy Model Violations
B.2 Polynomial Regression ModelB.3 Qualitative Predictor
B.4 MulticollinearityB.5 Model Selection: Stepwise Regression
B.6 Model Selection: All-Subsets Regression
B.7 Pitfalls and WarningsModule in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Index
MODULE C: Design of Experiments and Analysis of Variance
Case Study: Dental Hygiene: Which Toothbrush?
C.1 Factorial Designs
C.2 Two-Way ANOVA: The Logic
C.3 Two-Way ANOVA: The Procedure
C.4 Two-Way ANOVA: Multiple Comparisons
C.5 Randomized Block Designs
C.6 Randomized Block ANOVA: The Logic
C.7 Randomized Block ANOVA: The Procedure
C.8 Randomized Block ANOVA: Multiple Comparisons
C.9 Friedman’s Nonparametric Test for the Randomized Block Design Module in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion Answers to Selected ExercisesIndexAppendix
A: Statistical Tables
Appendix