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  <titleInfo>
    <title>Introduction to the practice of statistics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Moore, David S.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>McCabe, George P.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">xxu</placeTerm>
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    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>W. H. Freeman</publisher>
    <dateIssued>2006</dateIssued>
    <edition>5th ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxxiv, 800 p + various pagings.: ill. CD-ROM [In back cover]</extent>
  </physicalDescription>
  <tableOfContents>Contents: Looking at data: Looking at data-distributions: displaying distributions with graphs -- Describing distributions with numbers -- Density curves and normal distributions Looking at data-relationships: scatterplots -- Correlation -- Least-squares regression -- Cautions about correlation and regression -- The question of causation  -- Producing data: First steps -- Design of experiments -- Sampling design -- Toward statistical inference -- Probability and inference: Probability: the study of randomness -- Probability models -- Random variables -- Means and variances of random variables -- General probability rules -- Sampling distribution: Sampling distributions for counts and proportions -- The sampling distribution of a sample mean -- Introduction to inference: Estimating with confidence -- Tests of significance -- Use and abuse of tests -- Power and inference as a decision -- Inference for distributions: Inference for the mean of a population -- Comparing two means -- Optional topics in comparing distributions -- Inference for proportions: Inference for a single proportion -- Comparing two proportions --Topics in inference: Analysis of two-way tables: Data analysis for two-way tables -- Inference for two-way tables -- Formulas and models for two-way tables -- Goodness fit -- Inference for regression: Simple linear regression -- More detail about simple linear regression --Multiple regression: Inference for multiple regression -- A case study -- One-way analysis of variance: Inference for one-way analysis of variance -- Comparing the means -- Two-way analysis of variance: The two-way ANOVA model -- Inference for two-way ANOVA -- Bootstrap methods and permutation tests: The bootstrap idea -- First steps in using the bootstrap -- How accurate is a bootstrap -- Bootstrap confidence intervals -- Significance testing using permutation tests -- Nonparametric tests: The Wilcoxon rank sum test -- The Wilcoxon signed rank test -- The Kruskal-Wallis test -- Logistic regression: The logistic regression model -- Inference for logistic regression -- Statistics for quality: control and capability: Process and statistical process control -- Using control charts -- Process capability indexes -- Control charts for sample proportions -- </tableOfContents>
  <note type="statement of responsibility">David S. Moore, George P. McCabe</note>
  <note>Includes index.</note>
  <subject>
    <topic>Statistics</topic>
  </subject>
  <classification authority="lcc">QA276.12.M82</classification>
  <identifier type="isbn">9780716764007</identifier>
  <identifier type="isbn">0716764008</identifier>
  <identifier type="lccn">2004114217</identifier>
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    <recordCreationDate encoding="marc">111109</recordCreationDate>
    <recordChangeDate encoding="iso8601">20220314144529.0</recordChangeDate>
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