Intermediate Statistical Investigations [Loose-leaf]

Intermediate Statistical Investigations/provides/a unified framework for explaining variation across study designs and variable types, helping students increase their statistical literacy and appreciate the indispensable role of statistics in scientific research./Requiring only a single introductory statistics course as a prerequisite,/the program/uses?the/immersive, simulation-based inference/approach/for which the/author team is known.Students engage with various aspects of data collection and?analysis using real examples and clear explanations?designed/to/strengthen/multivariable/understanding?and?reinforce first-course concepts.?

Each chapter contains in-depth exercises/which/follow a consistent/?six-step?statistical?exploration and?investigation method?(ask a research question, design a study, explore the data, draw inferences, formulate conclusions, and look back and ahead)?enabling students to assess a variety of concepts in a single assignment. Challenging questions?based on?research articles strengthen critical reading skills,?fully?worked?examples?demonstrate/essential/concepts and methods,?and engaging visualizations illustrate key themes of explained variation. End-of-chapter investigations?use?real?data?from popular?culture/and?published research studies/in/a?variety of disciplines,?exposing?students?to various applications?of statistics in the real world./Throughout the text,?user-friendly/Rossman Chance/web?applets?allow?students to conduct/the/simulations and analyses covered in the book.

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Preliminaries Multivariable Thinking and Sources of Variation 1

Example P.A: Graduate School Admissions at Berkeley 2

Exploration P.A: Salary Discrimination 9

Example P.B: Predicting Birth Weights 15

Exploration P.B: Housing Prices in Michigan 21

1 Sources of Vlƒ²