Statistics: Unlocking the Power of Data

Höfundar: Robin H. Lock; Patti Frazer Lock; Kari Lock Morgan; Eric F. Lock; Dennis F. Lock (Útgáfa: 4)
Statistics: Unlocking the Power of Data

Kaup valmöguleikar

Statistics: Unlocking the Power of Data, 4th Edition, with corequisite support content, is designed for an introductory statistics course focusing on data analysis using real-world data and applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples.

More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches.

Nánar um bókina

Útgefandi
Wiley Global Education US
ISBN
9781394336579
Print ISBN
9781394336623
Format
ePub
Útgáfa
4
Höfundar
Robin H. Lock; Patti Frazer Lock; Kari Lock Morgan; Eric F. Lock; Dennis F. Lock
Tungumál
English
Útgefið
11/2025
Prent takmörkun á líftíma
100
Prent takmörkun
10
Afritunar takmörkun
2

Kaflar

  • Cover
  • Title Page
  • Copyright
  • A message from the Locks
  • StatKey
  • Table of Contents
  • Preface
  • About the Authors
  • Unit A: Data
  • Chapter 1: Collecting Data
  • 1.1 The Structure of Data
  • Exercises for Section 1.1
  • 1.2 Sampling from a Population
  • Exercises for Section 1.2
  • 1.3 Experiments and Observational Studies
  • Exercises for Section 1.3
  • Notes
  • Chapter 2: Describing Data
  • 2.1 Categorical Variables
  • Exercises for Section 2.1
  • 2.2 One Quantitative Variable
  • Exercises for Section 2.2
  • 2.3 One Quantitative Variable: Using Percentiles
  • Exercises for Section 2.3
  • 2.4 Two Variable Relationships
  • Exercises for Section 2.4
  • 2.5 Two Quantitative Variables: Linear Regression
  • Exercises for Section 2.5
  • 2.6 Data Visualization and Multiple Variables
  • Exercises for Section 2.6
  • Notes
  • Unit A: Essential Synthesis
  • Exercises for UNIT A: Essential Synthesis
  • Review Exercises for UNIT A
  • Notes
  • Unit B: Understanding Inference
  • Chapter 3: Confidence Intervals
  • 3.1 Sampling Distributions
  • Exercises for Section 3.1
  • 3.2 Understanding and Interpreting Confidence Intervals
  • Exercises for Section 3.2
  • 3.3 Constructing Bootstrap Confidence Intervals
  • Exercises for Section 3.3
  • 3.4 Bootstrap Confidence Intervals Using Percentiles
  • Exercises for Section 3.4
  • Notes
  • Chapter 4: Hypothesis Tests
  • 4.1 Introducing Hypothesis Tests
  • Exercises for Section 4.1
  • 4.2 Measuring Evidence with P-values
  • Exercises for Section 4.2
  • 4.3 Determining Statistical Significance
  • Exercises for Section 4.3
  • 4.4 A Closer Look at Testing
  • Exercises for Section 4.4
  • 4.5 Making Connections
  • Exercises for Section 4.5
  • Notes
  • Unit B: Essential Synthesis
  • Exercises for UNIT B: Essential Synthesis
  • Review Exercises for UNIT B
  • Notes
  • Unit C: Inference with Normal and t-Distributions
  • Chapter 5: Approximating with a Distribution
  • 5.1 Hypothesis Tests Using Normal Distributions
  • Exercises for Section 5.1
  • 5.2 Confidence Intervals Using Normal Distributions
  • Exercises for Section 5.2
  • Notes
  • Chapter 6: Inference for Means and Proportions
  • 6.1-D Distribution of a Proportion
  • Exercises for Section 6.1-D
  • 6.1-CI Confidence Interval for a Proportion
  • Exercises for Section 6.1-CI
  • 6.1-HT Hypothesis Test for a Proportion
  • Exercises for Section 6.1-HT
  • 6.2-D Distribution of a Mean
  • Exercises for Section 6.2-D
  • 6.2-CI Confidence Interval for a Mean
  • Exercises for Section 6.2-CI
  • 6.2-HT Hypothesis Test for a Mean
  • Exercises for Section 6.2-HT
  • 6.3-D Distribution of a Difference in Proportions
  • Exercises for Section 6.3-D
  • 6.3-CI Confidence Interval for a Difference in Proportions
  • Exercises for Section 6.3-CI
  • 6.3-HT Hypothesis Test for a Difference in Proportions
  • Exercises for Section 6.3-HT
  • 6.4-D Distribution of a Difference in Means
  • Exercises for Section 6.4-D
  • 6.4-CI Confidence Interval for a Difference in Means
  • Exercises for Section 6.4-CI
  • 6.4-HT Hypothesis Test for a Difference in Means
  • Exercises for Section 6.4-HT
  • 6.5 Paired Difference in Means
  • Exercises for Section 6.5
  • Notes
  • Unit C Essential Synthesis
  • Exercises for UNIT C: Essential Synthesis
  • Review Exercises for UNIT C
  • Notes
  • Unit D: Inference for Multiple Parameters
  • Chapter 7: Chi-Square Tests for Categorical Variables
  • 7.1 Testing Goodness-of-Fit for a Single Categorical Variable
  • Exercises for Section 7.1
  • 7.2 Testing for an Association between Two Categorical Variables
  • Exercises for Section 7.2
  • Notes
  • Chapter 8: ANOVA to Compare Means
  • 8.1 Analysis of Variance
  • Exercises for Section 8.1
  • 8.2 Pairwise Comparisons and Inference after ANOVA
  • Exercises for Section 8.2
  • Notes
  • Chapter 9: Inference for Regression
  • 9.1 Inference for Slope and Correlation
  • Exercises for Section 9.1
  • 9.2 ANOVA for Regression
  • Exercises for Section 9.2
  • 9.3 Confidence and Prediction Intervals
  • Exercises for Section 9.3
  • Notes
  • Chapter 10: Multiple Regression
  • 10.1 Multiple Predictors
  • Exercises for Section 10.1
  • 10.2 Checking Conditions for a Regression Model
  • Exercises for Section 10.2
  • 10.3 Using Multiple Regression
  • Exercises for Section 10.3
  • Notes
  • Unit D Essential Synthesis
  • Exercises for UNIT D: Essential Synthesis
  • Review Exercises for UNIT D
  • Notes
  • The Big Picture Essential Synthesis
  • Exercises for the Big Picture: Essential Synthesis
  • Notes
  • Chapter P: Probability Basics
  • P.1 Probability Rules
  • Exercises for Section P.1
  • P.2 Tree Diagrams and Bayes’ Rule
  • Exercises for Section P.2
  • P.3 Random Variables and Probability Functions
  • Exercises for Section P.3
  • P.4 Binomial Probabilities
  • Exercises for Section P.4
  • P.5 Density Curves and the Normal Distribution
  • Exercises for Section P.5
  • Notes
  • Appendix A: Chapter Summaries
  • Appendix B: Selected Dataset Descriptions
  • Partial Answers
  • Partial Solutions
  • General Index
  • Dataset Index
  • End User License Agreement