Statistics : (Record no. 11008)

MARC details
000 -LEADER
fixed length control field 05627nam a2200373Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260803094224.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251212s2018 xx 000 0 und d©©©
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-292-16477-9
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number 519.5 Ag82s 2018
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Agresti, Allan
245 1# - TITLE STATEMENT
Title Statistics :
Remainder of title the art and science of learning from data /
Statement of responsibility, etc. Alan Agresti, Christine Franklin, Bernhard Klingenberg ; with contributions by Michael Posner.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Harlow, Essex :
Name of publisher, distributor, etc. Pearson Education Ltd,
Date of publication, distribution, etc. ©2018.
250 ## - EDITION STATEMENT
Edition statement Fourth, global edition
300 ## - PHYSICAL DESCRIPTION
Extent 761, A32, I12, C1, D4 pages:
Other physical details color illustrations
300 ## - PHYSICAL DESCRIPTION
Dimensions 28 cm
336 ## - CONTENT TYPE
Content type term text
337 ## - MEDIA TYPE
Media type term unmediated
338 ## - CARRIER TYPE
Carrier type term volume
500 ## - GENERAL NOTE
General note Includes index
546 ## - LANGUAGE NOTE
Language note in English
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Preface PART ONE: GATHERING AND EXPLORING DATA 1. Statistics: The Art and Science of Learning from Data1.1 Using Data to Answer Statistical Questions1.2 Sample Versus Population1.3 Using Calculators and Computers Chapter Summary Chapter Problems 2. Exploring Data with Graphs and Numerical Summaries2.1 Different Types of Data2.2 Graphical Summaries of Data2.3 Measuring the Center of Quantitative Data2.4 Measuring the Variability of Quantitative Data2.5 Using Measures of Position to Describe Variability2.6 Recognizing and Avoiding Misuses of Graphical Summaries Chapter Summary Chapter Problems 3. Association: Contingency, Correlation, and Regression3.1 The Association Between Two Categorical Variables3.2 The Association Between Two Quantitative Variables3.3 Predicting the Outcome of a Variable3.4 Cautions in Analyzing Associations Chapter Summary Chapter Problems 4. Gathering Data4.1 Experimental and Observational Studies4.2 Good and Poor Ways to Sample4.3 Good and Poor Ways to Experiment4.4 Other Ways to Conduct Experimental and Nonexperimental Studies Chapter Summary Chapter Problems Part Review 1 (ONLINE) PART TWO: PROBABILITY, PROBABILITY DISTRIBUTIONS, AND SAMPLING DISTRIBUTIONS 5. Probability in Our Daily Lives5.1 How Probability Quantifies Randomness5.2 Finding Probabilities5.3 Conditional Probability5.4 Applying the Probability Rules Chapter Summary Chapter Problems 6. Probability Distributions6.1 Summarizing Possible Outcomes and Their Probabilities6.2 Probabilities for Bell-Shaped Distributions6.3 Probabilities When Each Observation Has Two Possible Outcomes Chapter Summary Chapter Problems 7. Sampling Distributions7.1 How Sample Proportions Vary Around the Population Proportion7.2 How Sample Means Vary Around the Population Mean Chapter Summary Chapter Problems Part Review 2 (ONLINE) PART THREE: INFERENTIAL STATISTICS 8. Statistical Inference: Confidence Intervals8.1 Point and Interval Estimates of Population Parameters8.2 Constructing a Confidence Interval to Estimate a Population Proportion8.3 Constructing a Confidence Interval to Estimate a Population Mean8.4 Choosing the Sample Size for a Study8.5 Using Computers to Make New Estimation Methods Possible Chapter Summary Chapter Problems 9. Statistical Inference: Significance Tests About Hypotheses9.1 Steps for Performing a Significance Test9.2 Significance Tests About Proportions9.3 Significance Tests About Means9.4 Decisions and Types of Errors in Significance Tests9.5 Limitations of Significance Tests9.6 The Likelihood of a Type II Error Chapter Summary Chapter Problems 10. Comparing Two Groups10.1 Categorical Response: Comparing Two Proportions10.2 Quantitative Response: Comparing Two Means10.3 Other Ways of Comparing Means and Comparing Proportions10.4 Analyzing Dependent Samples10.5 Adjusting for the Effects of Other Variables Chapter Summary Chapter Problems Part Review 3 (ONLINE) PART FOUR: ANALYZING ASSOCIATION AND EXTENDED STATISTICAL METHODS 11. Analyzing the Association Between Categorical Variables11.1 Independence and Dependence (Association)11.2 Testing Categorical Variables for Independence11.3 Determining the Strength of the Association11.4 Using Residuals to Reveal the Pattern of Association11.5 Fisher`s Exact and Permutation Tests Chapter Summary Chapter Problems 12. Analyzing the Association Between Quantitative Variables: Regression Analysis12.1 Modeling How Two Variables Are Related12.2 Inference About Model Parameters and the Association12.3 Describing the Strength of Association12.4 How the Data Vary Around the Regression Line12.5 Exponential Regression: A Model for Nonlinearity Chapter Summary Chapter Problems 13. Multiple Regression13.1 Using Several Variables to Predict a Response13.2 Extending the Correlation and R2 for Multiple Regression13.3 Using Multiple Regression to Make Inferences13.4 Checking a Regression Model Using Residual Plots 13.5 Regression and Categorical Predictors13.6 Modeling a Categorical Response Chapter Summary Chapter Problems 14. Comparing Groups: Analysis of Variance Methods14.1 One-Way ANOVA: Comparing Several Means14.2 Estimating Differences in Groups for a Single Factor14.3 Two-Way ANOVA Chapter Summary Chapter Problems 15. Nonparametric Statistics15.1 Compare Two Groups by Ranking15.2 Nonparametric Methods for Several Groups and for Matched Pairs Chapter Summary Chapter Problems Part Review 4 (ONLINE) TablesAnswersIndexIndex of ApplicationsPhoto Credits
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650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics
Form subdivision Textbooks
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Franklin, Christine; Klingenberg, Bernhard
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Posner, Michael
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943 ## - EQUIVALENCE OR CROSS-REFERENCE--COLLECTIVE TITLE [OBSOLETE] [CAN/MARC only]
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Date of treaty signing 0
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953 ## -
-- HED6202
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-- College Library
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Institution code [OBSOLETE] jpascua
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Edition 2019-05-28 14:57:03
998 ## - LOCAL CONTROL INFORMATION (RLIN)
MyRDA biblio 11094
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     FEU - Cavite Higher Education FEU - Cavite Higher Education HED Library 12/21/2025 CIR 519.5 Ag82s 2018 HED6202 06/02/2026 12/21/2025 Books