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ویرایش: Second edition. نویسندگان: Thomas H. Short, Roxy Peck سری: ISBN (شابک) : 9781337558082, 1337558400 ناشر: سال نشر: 2019 تعداد صفحات: 922 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 47 مگابایت
در صورت تبدیل فایل کتاب Statistics : learning from data به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب آمار: یادگیری از داده ها نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Author Bios Brief Contents Contents Preface Section I: Collecting Data Chapter 1: Collecting Data in Reasonable Ways Preview Chapter Learning Objectives 1.1 Statistics-It's All about Variability 1.2 Statistical Studies: Observation and Experimentation 1.3 Collecting Data: Planning an Observational Study 1.4 Collecting Data-Planning an Experiment 1.5 The Importance of Random Selection and Random Assignment: What Types of Conclusions Are Reasonable? 1.6 Avoid These Common Mistakes Chapter Activities Chapter 1 Explorations in Statistical Thinking Are You Ready to Move On? Chapter 1 Review Exercises Section II: Describing Data Distributions Chapter 2: Graphical Methods for Describing Data Distributions Preview Chapter Learning Objectives 2.1 Selecting an Appropriate Graphical Display 2.2 Displaying Categorical Data: Bar Charts and Comparative Bar Charts 2.3 Displaying Numerical Data: Dotplots, Stem-and-Leaf Displays, and Histograms 2.4 Displaying Bivariate Numerical Data: Scatterplots and Time Series Plots 2.5 Graphical Displays in the Media 2.6 Avoid These Common Mistakes Chapter Activities Chapter 2 Explorations in Statistical Thinking Are You Ready to Move On? Chapter 2 Review Exercises Technology Notes Chapter 3: Numerical Methods for Describing Data Distributions Preview Chapter Learning Objectives 3.1 Selecting Appropriate Numerical Summaries 3.2 Describing Center and Variability for Data Distributions That Are Approximately Symmetric 3.3 Describing Center and Variability for Data Distributions That Are Skewed or Have Outliers 3.4 Summarizing a Data Set: Boxplots 3.5 Measures of Relative Standing: z-scores and Percentiles 3.6 Avoid These Common Mistakes Chapter Activities Chapter 3 Explorations in Statistical Thinking Are You Ready to Move On? Chapter 3 Review Exercises Technology Notes Chapter 4: Describing Bivariate Numerical Data Preview Chapter Learning Objectives 4.1 Correlation 4.2 Linear Regression: Fitting a Line to Bivariate Data 4.3 Assessing the Fit of a Line 4.4 Describing Linear Relationships and Making Predictions-Putting It All Together 4.5 Avoid These Common Mistakes Chapter Activities Chapter 4 Explorations in Statistical Thinking Are You Ready to Move On? Chapter 4 Review Exercises Technology Notes Section III: A Foundation for Inference: Reasoning about Probability Chapter 5: Probability Preview Chapter Learning Objectives 5.1 Interpreting Probabilities 5.2 Calculating Probabilities 5.3 Probabilities of More Complex Events: Unions, Intersections, and Complements 5.4 Conditional Probability 5.5 Calculating Probabilities-A More Formal Approach (Optional) 5.6 Probability as a Basis for Making Decisions 5.7 Estimating Probabilities Empirically and Using Simulation (Optional) Chapter Activities Are You Ready to Move On? Chapter 5 Review Exercises Chapter 6: Random Variables and Probability Distributions Preview Chapter Learning Objectives 6.1 Random Variables 6.2 Probability Distributions for Discrete Random Variables 6.3 Probability Distributions for Continuous Random Variables 6.4 The Mean and Standard Deviation of a Random Variable 6.5 Normal Distributions 6.6 Checking for Normality 6.7 Binomial and Geometric Distributions (Optional) 6.8 Using the Normal Distribution to Approximate a Discrete Distribution (Optional) Chapter Activities Are You Ready to Move On? Chapter 6 Review Exercises Technology Notes Section IV: Learning from Sample Data Chapter 7: An Overview of Statistical Inference-Learning from Data Preview Chapter Learning Objectives 7.1 Statistical Inference-What You Can Learn from Data 7.2 Selecting an Appropriate Method-Four Key Questions 7.3 A Five-Step Process for Statistical Inference Chapter Activities Are You Ready to Move On? Chapter 7 Review Exercises Chapter 8: Sampling Variability and Sampling Distributions Preview Chapter Learning Objectives 8.1 Statistics and Sampling Variability 8.2 The Sampling Distribution of a Sample Proportion 8.3 How Sampling Distributions Support Learning from Data Chapter Activities Chapter 8 Explorations in Statistical Thinking Are You Ready to Move On? Chapter 8 Review Exercises Chapter 9: Estimating a Population Proportion Preview Chapter Learning Objectives 9.1 Selecting an Estimator 9.2 Estimating a Population Proportion-Margin of Error 9.3 A Large Sample Confidence Interval for a Population Proportion 9.4 Choosing a Sample Size to Achieve a Desired Margin of Error 9.5 Bootstrap Confidence Intervals for a Population Proportion (Optional) 9.6 Avoid These Common Mistakes Chapter Activities Chapter 9: Explorations in Statistical Thinking Are You Ready to Move On? Chapter 9 Review Exercises Technology Notes Chapter 10: Asking and Answering Questions about a Population Proportion Preview Chapter Learning Objectives 10.1 Hypotheses and Possible Conclusions 10.2 Potential Errors in Hypothesis Testing 10.3 The Logic of Hypothesis Testing-An Informal Example 10.4 A Procedure for Carrying Out a Hypothesis Test 10.5 Large-Sample Hypothesis Test for a Population Proportion 10.6 Randomization Tests and Exact Binomial Tests for One Proportion (Optional) 10.7 Avoid These Common Mistakes Chapter Activities Chapter 10: Explorations in Statistical Thinking Are You Ready to Move On? Chapter 10 Review Exercises Technology Notes Chapter 11: Asking and Answering Questions about the Difference between Two Population Proportions Preview Chapter Learning Objectives 11.1 Estimating the Difference between Two Population Proportions 11.2 Testing Hypotheses about the Difference between two Population Proportions 11.3 Inference for Two Proportions Using Data from an Experiment 11.4 Simulation-Based Inference for Two Proportions (Optional) 11.5 Avoid These Common Mistakes Chapter Activities Chapter 11 Explorations in Statistical Thinking Are You Ready to Move On? Chapter 11 Review Exercises Technology Notes Chapter 12: Asking and Answering Questions about a Population Mean Preview Chapter Learning Objectives 12.1 The Sampling Distribution of the Sample Mean 12.2 A Confidence Interval for a Population Mean 12.3 Testing Hypotheses about a Population Mean 12.4 Simulation-Based Inference for One Mean (Optional) 12.5 Avoid These Common Mistakes Chapter Activities Chapter 12 Explorations in Statistical Thinking Are You Ready to Move On? Chapter 12 Review Exercises Technology Notes Chapter 13: Asking and Answering Questions about the Difference between Two Means Preview Chapter Learning Objectives 13.1 Two Samples: Paired versus Independent Samples 13.2 Learning about a Difference in Population Means Using Paired Samples 13.3 Learning about a Difference in Population Means Using Independent Samples 13.4 Inference for Two Means Using Data from an Experiment 13.5 Simulation-Based Inference for Two Means (Optional) 13.6 Avoid These Common Mistakes Chapter Activities Chapter 13 Explorations in Statistical Thinking Are You Ready to Move On? Chapter 13 Review Exercises Technology Notes Section V: Additional Opportunities to Learn from Data Chapter 14: Learning from Categorical Data Preview Chapter Learning Objectives 14.1 Chi-Square Tests for Univariate Categorical Data 14.2 Tests for Homogeneity and Independence in a Two-Way Table 14.3 Avoid These Common Mistakes Chapter Activities Are You Ready to Move On? Chapter 14 Review Exercises Technology Notes Chapter 15: Understanding Relationships-Numerical Data Preview Chapter Learning Objectives 15.1 The Simple Linear Regression Model 15.2 Inferences Concerning the Slope of the Population Regression Line 15.3 Checking Model Adequacy Are You Ready to Move On? Chapter 15 Review Exercises Technology Notes Chapter 16: Asking and Answering Questions about More Than Two Means Preview Chapter Learning Objectives 16.1 The Analysis of Variance-Single-Factor ANOVA and the F Test 16.2 Multiple Comparisons Are You Ready to Move On? Chapter 16 Review Exercises Technology Notes Appendix A: Statistical Tables Answers Index