Statistics 3rd Edition Agresti Solutions Manual

Statistics 3rd Edition Agresti Solutions Manual

Product details:

• ISBN-10 ‏ : ‎ 0321755944
• ISBN-13 ‏ : ‎ 978-0321755940
• Author: Alan Agresti

Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.

The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor’s Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.

Table contents:

• Chapter 1: Introduction to data
  • 1.1: Case study: using stents to prevent strokes (1)
  • 1.2: Data basics (3)
  • 1.3: Overview of data collection principles (4)
  • 1.4: Observational studies and sampling strategies (5)
  • 1.5: Experiments (4)
  • 1.6: Examining numerical data (14)
  • 1.7: Considering categorical data (2)
  • 1.8: Case study: gender discrimination (special topic) (1)
• Chapter 2: Probability (special topic)
  • 2.1: Defining probability (special topic) (7)
  • 2.2: Conditional probability (special topic) (6)
  • 2.3: Sampling from a small population (special topic) (3)
  • 2.4: Random variables (special topic) (5)
  • 2.5: Continuous distributions (special topic) (1)
• Chapter 3: Distributions of random variables
  • 3.1: Normal distribution (8)
  • 3.2: Evaluating the normal approximation (1)
  • 3.3: Geometric distribution (special topic) (3)
  • 3.4: Binomial distribution (special topic) (7)
  • 3.5: More discrete distributions (special topic) (3)
• Chapter 4: Foundations for inference
  • 4.1: Variability in estimates (3)
  • 4.2: Confidence intervals (5)
  • 4.3: Hypothesis testing (8)
  • 4.4: Examining the Central Limit Theorem (5)
  • 4.5: Inference for other estimators (3)
• Chapter 5: Inference for numerical data
  • 5.1: One-sample means with the t-distribution (7)
  • 5.2: Paired data (5)
  • 5.3: Difference of two means (7)
  • 5.4: Power calculations for a difference of means (special topic) (1)
  • 5.5: Comparing many means with ANOVA (special topic) (5)
• Chapter 6: Inference for categorical data
  • 6.1: Inference for a single proportion (11)
  • 6.2: Difference of two proportions (8)
  • 6.3: Testing for goodness of fit using chi-square (special topic) (3)
  • 6.4: Testing for independence in two-way tables (special topic) (3)
  • 6.5: Small sample hypothesis testing for a proportion (special topic) (2)
  • 6.6: Randomization test (special topic) (1)
• Chapter 7: Introduction to linear regression
  • 7.1: Line fitting, residuals, and correlation (9)
  • 7.2: Fitting a line by least squares regression (6)
  • 7.3: Types of outliers in linear regression (2)
  • 7.4: Inference for linear regression (5)
• Chapter 8: Multiple and logistic regression
  • 8.1: Introduction to multiple regression (3)
  • 8.2: Model selection (3)
  • 8.3: Checking model assumptions using graphs (1)
  • 8.4: Introduction to logistic regression (2)

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