{"id":75776,"date":"2025-09-05T17:23:02","date_gmt":"2025-09-05T21:23:02","guid":{"rendered":"https:\/\/medicalebooks.org\/?post_type=product&#038;p=75776"},"modified":"2026-04-03T15:58:28","modified_gmt":"2026-04-03T19:58:28","slug":"intro-stats-global-edition-6th-edition","status":"publish","type":"product","link":"https:\/\/medicalebooks.org\/pt\/intro-stats-global-edition-6th-edition","title":{"rendered":"Intro Stats, Global Edition, 6th edition"},"content":{"rendered":"<p>Intro Stats, Global Edition &#8212; (Perpetual Access) &#8211; E-Book &#8211; PDF by Richard D. De Veaux-Paul F. Velleman-David E. Bock<br \/>\nFormat: Original PDF<br \/>\nLanguage: English<br \/>\nPublisher: Pearson<br \/>\nPublishing date: 2024<br \/>\nISBN: 9781292470641, 9781292470634<\/p>\n<h3>Table of contents<br \/>\n*<br \/>\nIndicates optional section<\/h3>\n<p>I: EXPLORING AND UNDERSTANDING DATA<br \/>\nStats Starts Here<br \/>\n1.1 What Is Statistics?<br \/>\n1.2 Data<br \/>\n1.3 Variables<br \/>\n1.4 Models<br \/>\nDisplaying and Describing Data<br \/>\n2.1 Summarizing and Displaying a Categorical Variable<br \/>\n2.2 Displaying a Quantitative Variable<br \/>\n2.3 Shape<br \/>\n2.4 Center<br \/>\n2.5 Spread<br \/>\nRelationships Between Categorical Variables: Contingency Tables<br \/>\n3.1 Contingency Tables<br \/>\n3.2 Conditional Distributions<br \/>\n3.3 Displaying Contingency Tables<br \/>\n3.4 Three Categorical Variables<br \/>\nUnderstanding and Comparing Distributions<br \/>\n4.1 Displays for Comparing Groups<br \/>\n4.2 Outliers<br \/>\n4.3 Re-Expressing Data: A First Look<br \/>\nThe Standard Deviation as a Ruler and the Normal Model<br \/>\n5.1 Using the standard deviation to Standardize Values<br \/>\n5.2 Shifting and Scaling<br \/>\n5.3 Normal Models<br \/>\n5.4 Working with Normal Percentiles<br \/>\n5.5 Normal Probability Plots<br \/>\nReview of Part I: Exploring and Understanding Data<br \/>\nII: EXPLORING RELATIONSHIPS BETWEEN VARIABLES<br \/>\nScatterplots, Association, and Correlation<br \/>\n6.1 Scatterplots<br \/>\n6.2 Correlation<br \/>\n6.3 Warning: Correlation \u2260 Causation<br \/>\n6.4 *Straightening Scatterplots<br \/>\nLinear Regression<br \/>\n7.1 Least Squares: The Line of &#8220;Best Fit&#8221;<br \/>\n7.2 The Linear Model<br \/>\n7.3 Finding the Least Squares Line<br \/>\n7.4 Regression to the Mean<br \/>\n7.5 Examining the Residuals<br \/>\n7.6 R2: The Variation Accounted for by the Model<br \/>\n7.7 Regression Assumptions and Conditions<br \/>\nRegression Wisdom<br \/>\n8.1 Examining Residuals<br \/>\n8.2 Extrapolation: Reaching Beyond the Data<br \/>\n8.3 Outliers, Leverage, and Influence<br \/>\n8.4 Lurking Variables and Causation<br \/>\n8.5 Working with Summary Values<br \/>\n8.6 * Straightening Scatterplots: The Three Goals<br \/>\n8.7 * Finding a Good Re-Expression<br \/>\nMultiple Regression<br \/>\n9.1 What Is Multiple Regression?<br \/>\n9.2 Interpreting Multiple Regression Coefficients<br \/>\n9.3 The Multiple Regression Model: Assumptions and Conditions<br \/>\n9.4 Partial Regression Plots<br \/>\n9.5 * Indicator Variables<br \/>\nReview of Part II: Exploring Relationships Between Variables<br \/>\nIII: GATHERING DATA<br \/>\nSample Surveys<br \/>\n10.1 The Three Big Ideas of Sampling<br \/>\n10.2 Populations and Parameters<br \/>\n10.3 Simple Random Samples<br \/>\n10.4 Other Sampling Designs<br \/>\n10.5 From the Population to the Sample: You Can&#8217;t Always Get What You Want<br \/>\n10.6 The Valid Survey<br \/>\n10.7 Common Sampling Mistakes, or How to Sample Badly<br \/>\nExperiments and Observational Studies<br \/>\n11.1 Observational Studies<br \/>\n11.2 Randomized, Comparative Experiments<br \/>\n11.3 The Four Principles of Experimental Design<br \/>\n11.4 Control Groups<br \/>\n11.5 Blocking<br \/>\n11.6 Confounding<br \/>\nReview of Part III: Gathering Data<br \/>\nIV: FROM THE DATA AT HAND TO THE WORLD AT LARGE<br \/>\nFrom Randomness to Probability<br \/>\n12.1 Random Phenomena<br \/>\n12.2 Modeling Probability<br \/>\n12.3 Formal Probability<br \/>\n12.4 Conditional Probability and the General Multiplication Rule<br \/>\n12.5 Independence<br \/>\n12.6 Picturing Probability: Tables, Venn Diagrams, and Trees<br \/>\n12.7 Reversing the Conditioning and Bayes&#8217; Rule<br \/>\nSampling Distributions and Confidence Intervals for Proportions<br \/>\n13.1 The Sampling Distribution for a Proportion<br \/>\n13.2 When Does the Normal Model Work? Assumptions and Conditions<br \/>\n13.3 A Confidence Interval for a Proportion<br \/>\n13.4 Interpreting Confidence Intervals: What Does 95% Confidence Really Mean?<br \/>\n13.5 Margin of Error: Certainty vs. Precision<br \/>\n13.6 * Choosing the Sample Size<br \/>\nConfidence Intervals for Means<br \/>\n14.1 The Central Limit Theorem<br \/>\n14.2 A Confidence interval for the Mean<br \/>\n14.3 Interpreting confidence intervals<br \/>\n14.4 * Picking our Interval Up by our Bootstraps<br \/>\n14.5 Thoughts about Confidence Intervals<br \/>\nTesting Hypotheses<br \/>\n15.1 Hypotheses<br \/>\n15.2 P-values<br \/>\n15.3 The Reasoning of Hypothesis Testing<br \/>\n15.4 A Hypothesis Test for the Mean<br \/>\n15.5 Intervals and Tests<br \/>\n15.6 P-Values and Decisions: What to Tell About a Hypothesis Test<br \/>\nMore About Tests and Intervals<br \/>\n16.1 Interpreting P-values<br \/>\n16.2 Alpha Levels and Critical Values<br \/>\n16.3 Practical vs. Statistical Significance<br \/>\n16.4 Errors<br \/>\nReview of Part IV: From the Data at Hand to the World at Large<br \/>\nV: INFERENCE FOR RELATIONSHIPS<br \/>\nComparing Groups<br \/>\n17.1 A Confidence Interval for the Difference Between Two Proportions<br \/>\n17.2 Assumptions and Conditions for Comparing Proportions<br \/>\n17.3 The Two-Sample z-Test: Testing the Difference Between Proportions<br \/>\n17.4 A Confidence Interval for the Difference Between Two Means<br \/>\n17.5 The Two-Sample t-Test: Testing for the Difference Between Two Means<br \/>\n17.6 * Randomization-Based Tests and Confidence Intervals for Two Means<br \/>\n17.7 * Pooling<br \/>\n17.8 * The Standard Deviation of a Difference<br \/>\nPaired Samples and Blocks<br \/>\n18.1 Paired Data<br \/>\n18.2 The Paired t-Test<br \/>\n18.3 Confidence Intervals for Matched Pairs<br \/>\n18.4 Blocking<br \/>\nComparing Counts<br \/>\n19.1 Goodness-of-Fit Tests<br \/>\n19.2 Chi-Square Tests of Homogeneity<br \/>\n19.3 Examining the Residuals<br \/>\n19.4 Chi-Square Test of Independence<br \/>\nInferences for Regression<br \/>\n20.1 The Regression Model<br \/>\n20.2 Assumptions and Conditions<br \/>\n20.3 Regression Inference and Intuition<br \/>\n20.4 The Regression Table<br \/>\n20.5 Multiple Regression Inference<br \/>\n20.6 Confidence and Prediction Intervals<br \/>\n20.7 * Logistic Regression<br \/>\n20.8 * More About Regression<br \/>\nReview of Part V: Inference for Relationships<br \/>\nParts I\u2013V Cumulative Review ExercisesAppendixes:<br \/>\nAnswers<br \/>\nCredits<br \/>\nIndexes<br \/>\nTables and Selected Formulas<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Intro Stats, Global Edition &#8212; (Perpetual Access) &#8211; E-Book &#8211; PDF by Richard D. De Veaux-Paul F. Velleman-David E. Bock<br \/>\nFormat: Original PDF<br \/>\nLanguage: English<br \/>\nPublisher: Pearson<br \/>\nPublishing date: 2024<br \/>\nISBN: 9781292470641, 9781292470634<\/p>\n","protected":false},"featured_media":75777,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"product_cat":[261],"product_tag":[1795],"class_list":["post-75776","product","type-product","status-publish","has-post-thumbnail","hentry","product_cat-statististics-research","product_tag-statistics"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"pt","enabled_languages":["en","uk","ar","au","ca","de","fr","es","pt","th","it","da","ko","he"],"languages":{"en":{"title":true,"content":true,"excerpt":true},"uk":{"title":false,"content":false,"excerpt":false},"ar":{"title":false,"content":false,"excerpt":false},"au":{"title":false,"content":false,"excerpt":false},"ca":{"title":false,"content":false,"excerpt":false},"de":{"title":false,"content":false,"excerpt":false},"fr":{"title":false,"content":false,"excerpt":false},"es":{"title":false,"content":false,"excerpt":false},"pt":{"title":false,"content":false,"excerpt":false},"th":{"title":false,"content":false,"excerpt":false},"it":{"title":false,"content":false,"excerpt":false},"da":{"title":false,"content":false,"excerpt":false},"ko":{"title":false,"content":false,"excerpt":false},"he":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/medicalebooks.org\/pt\/wp-json\/wp\/v2\/product\/75776","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medicalebooks.org\/pt\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/medicalebooks.org\/pt\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/medicalebooks.org\/pt\/wp-json\/wp\/v2\/comments?post=75776"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/medicalebooks.org\/pt\/wp-json\/wp\/v2\/media\/75777"}],"wp:attachment":[{"href":"https:\/\/medicalebooks.org\/pt\/wp-json\/wp\/v2\/media?parent=75776"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/medicalebooks.org\/pt\/wp-json\/wp\/v2\/product_cat?post=75776"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/medicalebooks.org\/pt\/wp-json\/wp\/v2\/product_tag?post=75776"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}