Statistics: Unlocking the Power of Data, EMEA Edition
5.190 kr.
Lýsing:
Statistics: Unlocking the Power of Data, 2 nd Edition continues to utilize these intuitive methods like randomization and bootstrap intervals to introduce the fundamental idea of statistical inference. These methods are brought to life through authentically relevant examples and are accessible at very early stages of the text. Applications are drawn from a wide variety of disciplines, chosen primarily on the basis of perceived interest to students and instructors.
Annað
- Höfundar: Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock
- Útgáfa:2
- Útgáfudagur: 02/2020
- Hægt að prenta út 10 bls.
- Hægt að afrita 2 bls.
- Format:ePub
- ISBN 13: 9781119715900
- Print ISBN: 9781119657187
- ISBN 10: 1119715903
Efnisyfirlit
- Cover
- Title Page
- StatKey
- A message from the Locks
- Preface
- 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
- Chapter 2: Describing Data
- 2.1 Categorical Variables
- Exercises for Section 2.1
- 2.2 One Quantitative Variable: Shape and Center
- Exercises for Section 2.2
- 2.3 One Quantitative Variable: Measures of Spread
- Exercises for Section 2.3
- 2.4 Boxplots and Quantitative/Categorical Relationships
- Exercises for Section 2.4
- 2.5 Two Quantitative Variables: Scatterplot and Correlation
- Exercises for Section 2.5
- 2.6 Two Quantitative Variables: Linear Regression
- Exercises for Section 2.6
- 2.7 Data Visualization and Multiple Variables
- Exercises for Section 2.7
- Unit A: Essential Synthesis
- Chapter 1: Collecting Data
- 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
- 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
- Unit B: Essential Synthesis
- Exercises for Unit B: Essential Synthesis
- Review Exercises for Unit B
- Chapter 3: Confidence Intervals
- 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
- 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
- Unit C: Essential Synthesis
- 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
- 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
- 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
- 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
- Unit D: Essential Synthesis
- 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
- Chapter 1: Collecting Data
- Chapter 2: Describing Data
- Chapter 3: Confidence Intervals
- Chapter 4: Hypothesis Tests
- Chapter 5: Approximating with a Distribution
- Chapter 6: Inference for Means and Proportions
- Chapter 7: Chi-Square Tests for Categorical Variables
- Chapter 8: ANOVA to Compare Means
- Chapter 9: Inference for Regression
- Chapter 10: Multiple Regression
- Descriptions of Variables for Selected Larger Datasets
- Unit A: Data
- Unit B: Understanding Inference
- Unit C: Inference with Normal and t‐Distributions
- Unit D: Inference for Multiple Paramaters
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- Gerð : 208
- Höfundur : 15434
- Útgáfuár : 2020
- Leyfi : 380