000 | 08418cam a22004334i 4500 | ||
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005 | 20240903143309.0 | ||
007 | ta | ||
008 | 010514s2002 caua 001 0 eng | ||
010 | _a 2001035807 | ||
011 | _aZ3950 Search: @attr 1=7 "9780534387778" | ||
011 | _aZ3950 Record: 0 of 11 | ||
020 | _a0534387772 | ||
020 | _a9780534387778 | ||
035 | _a(OCoLC)47018508 | ||
040 |
_aDLC _beng _cDLC _dUKM _dBAKER _dIG# _dBTCTA _dYDXCP _dBDX _dOCLCF _dOCLCO _dOCLCQ _dI8M _dZ5A |
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042 | _apcc | ||
050 | 0 | 0 |
_aQA273 _b.M523 2002 |
082 | 0 | 0 |
_a519.2 _221 |
099 | _a519.2 MEN | ||
100 | 1 |
_aMendenhall, William _eauthor. _91040359 |
|
245 | 1 | 2 |
_aA brief introduction to probability and statistics / _cWilliam Mendenhall, Robert J. Beaver, Barbara M. Beaver. |
246 | 3 | _aProbability and statistics | |
264 | 1 |
_aPacific Grove, CA : _bDuxbury/Thomson Learning, _c[2002] |
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264 | 4 | _c©2002. | |
300 |
_axiii, 618 pages : _billustrations ; _c25 cm + _e1 computer disc (3/4 in) |
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_atext _btxt _2rdacontent |
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_aunmediated _bn _2rdamedia |
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_avolume _bnc _2rdacarrier |
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500 | _aAccompanied by the text: Student solutions manual for Mendenhall, Beaver, and Beaver's Introduction to probability and statistics, by Barbara M. Beaver. | ||
505 | 0 | 0 |
_tIntroduction: An Invitation to Statistics -- _tThe Population and the Sample -- _tDescriptive and Inferential Statistics -- _tAchieving the Objective of Inferential Statistics: The Necessary Steps -- _g1. _tDescribing Data with Graphs -- _g1.1. _tVariables and Data -- _g1.2. _tTypes of Variables -- _g1.3. _tGraphs for Categorical Data -- _g1.4. _tGraphs for Quantitative Data -- _g1.5. _tRelative Frequency Histograms -- _tAbout Minitab -- Introduction to Minitab -- _tCase Study How Is Your Blood Pressure? -- _g2. _tDescribing Data with Numerical Measures -- _g2.1. _tDescribing a Set of Data with Numerical Measures -- _g2.2. _tMeasures of Center -- _g2.3. _tMeasures of Variability -- _g2.4. _tOn the Practical Significance of the Standard Deviation -- _g2.5. _tA Check on the Calculation of s -- _g2.6. _tMeasures of Relative Standing -- _g2.7. _tThe Box Plot -- _tAbout Minitab -- Numerical Descriptive Measures -- _tCase Study The Boys of Summer -- _g3. _tDescribing Bivariate Data -- _g3.1. _tBivariate Data -- _g3.2. _tGraphs for Qualitative Variables -- _g3.3. _tScatterplots for Two Quantitative Variables -- _g3.4. _tNumerical Measures for Quantitative Bivariate Data -- _tAbout Minitab -- Describing Bivariate Data -- _tCase Study Do You Think Your Dishes Are Really Clean? -- _g4. _tProbability and Probability Distributions -- _g4.1. _tThe Role of Probability in Statistics -- _g4.2. _tEvents and the Sample Space -- _g4.3. _tCalculating Probabilities Using Simple Events -- _g4.4. _tUseful Counting Rules (Optional) -- _g4.5. _tEvent Composition and Event Relations -- _g4.6. _tConditional Probability and Independence -- _g4.7. _tBayes' Rule (Optional) -- _g4.8. _tDiscrete Random Variables and Their Probability Distributions -- _tAbout Minitab -- Discrete Probability Distributions -- _tCase Study Probability and Decision Making in the Congo -- _g5. _tSeveral Useful Discrete Distributions -- _g5.1. _tIntroduction -- _g5.2. _tThe Binomial Probability Distribution -- _g5.3. _tThe Poisson Probability Distribution -- _g5.4. _tThe Hypergeometric Probability Distribution -- _tAbout Minitab -- Binomial and Poisson Probabilities -- _tCase Study A Mystery: Cancers Near a Reactor -- _g6. _tThe Normal Probability Distribution -- _g6.1. _tProbability Distributions for Continuous Random Variables -- _g6.2. _tThe Normal Probability Distribution -- _g6.3. _tTabulated Areas of the Normal Probability Distribution -- _g6.4. _tThe Normal Approximation to the Binomial Probability Distribution (Optional) -- _tAbout Minitab -- Normal Probabilities -- _tCase Study The Long and the Short of It -- _g7. _tSampling Distributions -- _g7.1. _tIntroduction -- _g7.2. _tSampling Plans and Experimental Designs -- _g7.3. _tStatistics and Sampling Distributions -- _g7.4. _tThe Central Limit Theorem -- _g7.5. _tThe Sampling Distribution of the Sample Mean -- _g7.6. _tThe Sampling Distribution of the Sample Proportion -- _g7.7. _tA Sampling Application: Statistical Process Control (Optional) -- _tAbout Minitab -- The Central Limit Theorem at Work -- _tCase Study Sampling the Roulette at Monte Carlo -- _g8. _tLarge-Sample Estimation -- _g8.1. _tWhere We've Been -- _g8.2. _tWhere We're Going -- Statistical Inference -- _g8.3. _tTypes of Estimators -- _g8.4. _tPoint Estimation -- _g8.5. _tInterval Estimation -- _g8.6. _tEstimating the Difference Between Two Population Means -- _g8.7. _tEstimating the Difference Between Two Binomial Proportions -- _g8.8. _tOne-Sided Confidence Bounds -- _g8.9. _tChoosing the Sample Size -- _tCase Study How Reliable Is That Poll? -- _g9. _tLarge-Sample Tests of Hypotheses -- _g9.1. _tTesting Hypotheses about Population Parameters -- _g9.2. _tA Statistical Test of Hypothesis -- _g9.3. _tA Large-Sample Test about a Population Mean -- _g9.4. _tA Large-Sample Test of Hypothesis for the Difference between Two Population Means -- _g9.5. _tA Large-Sample Test of Hypothesis for a Binomial Proportion -- _g9.6. _tA Large-Sample Test of Hypothesis for the Difference between Two Binomial Proportions -- _g9.7. _tSome Comments on Testing Hypotheses -- _tCase Study An Aspirin a Day.? -- _g10. _tInference from Small Samples -- _g10.1. _tIntroduction -- _g10.2. _tStudent's t Distribution -- _g10.3. _tSmall-Sample Inferences Concerning a Population Mean -- _g10.4. _tSmall-Sample Inferences for the Difference between Two Population Means: Independent Random Samples -- _g10.5. _tSmall-Sample Inferences for the Difference between Two Means: A Paired-Difference Test -- _g10.6. _tInferences Concerning a Population Variance -- _g10.7. _tComparing Two Population Variances -- _g10.8. _tRevisiting the Small-Sample Assumptions -- _tAbout Minitab -- Small-Sample Testing and Estimation -- _tCase Study How Would You Like a Four-Day Work Week? -- _g11. _tThe Analysis of Variance -- _g11.1. _tThe Design of an Experiment -- _g11.2. _tWhat Is an Analysis of Variance? -- _g11.3. _tThe Assumptions for an Analysis of Variance -- _g11.4. _tThe Completely Randomized Design: A One-Way Classification -- _g11.5. _tThe Analysis of Variance for a Completely Randomized Design -- _g11.6. _tRanking Population Means -- _g11.7. _tRevisiting the Analysis of Variance Assumptions -- _g11.8. _tA Brief Summary -- _tAbout Minitab -- Analysis of Variance Procedures -- _tCase Study "Are You at Risk?" -- _g12. _tLinear Regression and Correlation -- _g12.1. _tIntroduction -- _g12.2. _tA Simple Linear Probabilistic Model -- _g12.3. _tThe Method of Least Squares -- _g12.4. _tAn Analysis of Variance for Linear Regression -- _g12.5. _tTesting the Usefulness of the Linear Regression Model -- _g12.6. _tEstimation and Prediction Using the Fitted Line -- _g12.7. _tRevisiting the Regression Assumptions -- _g12.8. _tCorrelation Analysis -- _tAbout Minitab -- Linear Regression Procedures -- _tCase Study Is Your Car "Made in the U.S.A."? -- _g13. _tAnalysis of Categorical Data -- _g13.1. _tA Description of the Experiment -- _g13.2. _tPearson's Chi-Square Statistic -- _g13.3. _tTesting Specified Cell Probabilities: The Goodness-of-Fit Test -- _g13.4. _tContingency Tables: A Two-Way Classification -- _g13.5. _tComparing Several Multinomial Populations: A Two-Way Classification with Fixed Row or Column Totals -- _g13.6. _tThe Equivalence of Statistical Tests -- _g13.7. _tOther Applications of the Chi-Square Test -- _tAbout Minitab -- The Chi-Square Test -- _tCase Study Can a Marketing Approach Improve Library Services? -- _gAppendix I. _tTables -- _gTable 1. _tCumulative Binomial Probabilities -- _gTable 2. _tCumulative Poisson Probabilities -- _gTable 3. _tNormal Curve Areas -- _gTable 4. _tCritical Values of t -- _gTable 5. _tCritical Values of Chi-Square -- _gTable 6. _tPercentage Points of the F Distribution -- _gTable 7. _tRandom Numbers -- _gTable 8. _tPercentage Points of the Studentized Range, q(k, df) -- _tAnswers to Selected Exercises -- _tIndex. |
588 | _aRDA encoding generated via machine conversion from AACR2 record. | ||
650 | 0 |
_aProbabilities. _9322771 |
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650 | 0 |
_aMathematical statistics. _9320547 |
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700 | 1 |
_aBeaver, Robert J., _eauthor. |
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700 | 1 |
_aBeaver, Barbara M., _eauthor. |
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856 | 4 | 1 |
_3Table of contents _uhttp://catdir.loc.gov/catdir/enhancements/fy1103/2001035807-t.html |
856 | 4 | 2 |
_3Publisher description _uhttp://catdir.loc.gov/catdir/enhancements/fy1103/2001035807-d.html |
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