McClave Jt., Sincich T.T. A first Course in Statistics

12th Edition, Global Edition. — Pearson, 2018. — 651 p. — ISBN 978-1-292-16541-7.Classic, yet contemporary; theoretical, yet applied–McClave & Sincich’s A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises.Ideal for one--semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.Statistics, Data, and Statistical Thinking
The Science of Statistics
Types of Statistical Applications
Fundamental Elements of Statistics
Types of Data
Collecting Data: Sampling and Related Issues
The Role of Statistics in Critical Thinking and Ethics
Statistics in Action: Social Media Network Usage—Are You Linked In?
Using Technology: MINITAB: Accessing and Listing DataMethods for Describing Sets of Data
Describing Qualitative Data
Graphical Methods for Describing Quantitative Data
Numerical Measures of Central Tendency
Numerical Measures of Variability
Using the Mean and Standard Deviation to Describe Data
Numerical Measures of Relative Standing
Methods for Detecting Outliers: Box Plots and z-Scores
Graphing Bivariate Relationships (Optional)
Distorting the Truth with Descriptive Statistics
Statistics in Action: Body Image Dissatisfaction: Real or Imagined?
Using Technology: MINITAB: Describing Data
TI-83/TI–84 Plus Graphing Calculator: Describing DataProbability
Events, Sample Spaces, and Probability
Unions and Intersections
Complementary Events
The Additive Rule and Mutually Exclusive Events
Conditional Probability
The Multiplicative Rule and Independent Events
Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?
Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and PermutationsRandom Variables and Probability Distributions
Two Types of Random Variables
Probability Distributions for Discrete Random Variables
The Binomial Random Variable
Probability Distributions for Continuous Random Variables
The Normal Distribution
Descriptive Methods for Assessing Normality
Approximating a Binomial Distribution with a Normal Distribution (Optional)
Sampling Distributions
The Sampling Distribution of x and the Central Limit Theorem
Statistics in Action: Super Weapons Development – Is the Hit Ratio Optimized?
Using Technology: MINITAB: Discrete ProbabilitiesInferences Based on a Single Sample
Identifying and Estimating the Target Parameter
Confidence Interval for a Population Mean: Normal (z) Statistic
Confidence Interval for a Population Mean: Student’s t-Statistic
Large-Sample Confidence Interval for a Population Proportion
Determining the Sample Size
Confidence Interval for a Population Variance (Optional)Comparing Population Mean
Identifying the Target Parameter
Comparing Two Population Means: Independent Sampling
Comparing Two Population Means: Paired Difference Experiments
Determining the Sample Size
A Nonparametric Test for Comparing Two Populations: Independent Samples (Optional)
Nonparametric Test for Comparing Two Populations: Paired Difference Experiment (Optional)
Comparing Three or More Population Means: Analysis of Variance (Optional)
Statistics in Action: ZixIt Corp. v. Visa USA Inc.—A Libel Case
Using Technology: MINITAB: Comparing Means
TI-83/TI-84 Plus Graphing Calculator: Comparing MeansComparing Population Proportions
Comparing Two Population Proportions: Independent Sampling
Determining the Sample Size
Testing Category Probabilities: Multinomial Experiment
Testing Categorical Probabilities: Two-Way (Contingency) Table
Statistics in Action: The Case of the Ghoulish Transplant Tissue
Using Technology: MINITAB: Categorized Data Analysis
TI-83/TI-84 Plus Graphing Calculator:Categorical Data AnalysesSimple linear Regression
Probabilistic Models
Fitting the Model: The Least Squares Approach
Model Assumptions
Assessing the Utility of the Model: Making Inferences about the Slope b1
The Coefficients of Correlation and Determination
Using the Model for Estimation and Prediction
A Complete Example
A Nonparametric Test for Correlation (Optional)
Statistics in Action: Can “Dowsers” Really Detect Water?
Using Technology: MINITAB: Simple Linear Regression
TI-83/TI-84 Plus Graphing Calculator: Simple Linear RegressionAppendices
Appendix A Summation Notation
Appendix B Tables
Table I Binomial Probabilities
Table II Normal Curve Areas
Table III Critical Values of t
Table IV Critical Values of x2
Table V Critical Values of TL and TU for the Wilcoxon Rank Sum Test
Table VI Critical Values of T0 in the Wilcoxon Signed Rank Test
Table VII Percentage Points of the F-Distribution, a = .10
Table VIII Percentage Points of the F-Distribution, a = .05
Table IX Percentage Points of the F-Distribution, a = .025
Table X Percentage Points of the F-Distribution, a = .01
Table XI Critical Values of Spearman’s Rank Correlation Coefficient
Appendix C Calculation Formulas for Analysis of Variance (Independent Sampling)Short Answers to Selected Odd-Numbered Exercises

Credits
Selected Formulas