Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

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724 NAME INDEXKaell, A., 622Kahn, K. L., 620Kallgren, C. A., 601Kanouse, D. E., 620Karpinski, A. C., 483Kasparek, D. G., 599Katona, G., 332Kawachi, I., 264Kawai, Y., 526Kay, A. C., 63, 360Keitner, D., 332Keppel, G., 428Kersh, R., 330Killeen, P. R., 250Kingston, A., 18, 31, 98, 343, 362, 622Kirschner, P. A., 483Kistler, A., 84Knight, C., 32Kramer, M., 600Kraus, M. W., 332Kressig, R. W., 331Kuendig, H., 530Kuo, M., 18Kutamura, S., 526Laland, K. N., 527Lamb, M. E., 298Lamy, L., 560, 574, 601Langewitz, W., 622Lee, H., 18Levine, S. C., 64Levinson, B., 84Lichtenfeld, S., 483Liger-Belair, G., 481Liguori, A., 265Linder, J. R., 31Liu, H., 483Loftus, E. F., 330, 599, 622Loftus, G. R., 250Longo, L. C., 361Lott, V., 361, 622Lynch, P. J., 31Madera, J. M., 366Maerlender, A., 331, 480Maier, M. A., 483Makhijani, M. G., 361Marks, M., 263Martin, A., 265Martin, J., 264McAllister, T. W., 331, 480McDermott, K. B., 31, 296, 385, 421McEwen, J. J., 265McGee, E., 268, 297McGee, R., 264McGlynn, E. A., 620Medvec, V. H., 296, 621Miller, G. A., 601Mills, J., 361, 622Mimura, M., 526Minkovitz, C. S., 601Mirenberg, M. C., 160, 598, 620Morris, R. L., 599Morse, C. K., 130Myerson, J., 414Niesta, D., 227, 362, 483Niesta, K., 483Nilsson, L., 263Nunes, J., 599Nyberg, L., 263Oishi, S., 297Oltman, D., 72Palmer, J. C., 330, 599, 622Parsons, S., 276Pelham, B. W., 160, 598, 620Pelham, W. E., 361Persson, J., 263Phillips, B., 621Piff, P. K., 332Piper, J., 68, 76Plomin, R., 525, 600Polidori, G., 481Polman, H., 12, 14, 15Pron, H., 481Reader, S. M., 527Reed, E. T., 621Reno, R. R., 601Resenhoeft, A., 34, 360, 445Rhee, Y., 264Rizzoli, R., 331Robinson, J. H., 265Roediger, H. L., 31, 296, 385, 421Rohwedder, S., 557Rowe, M. L., 64Rozin, P., 600Samuels, C., 276Sargent, R. G., 599Savitsky, K., 296, 621Schachter, S., 476Scharf, R. J., 31Schimmack, U., 297Schmidt, S. R., 97Schubaker, J.A., 72Seery, M. D., 330Sengupta, J., 360Shekelle, P. G., 620Shevlin, M., 268, 297Shrauger, J. S., 483Shukitt-Hale, B., 265Shulman, C., 621Silver, R. C., 330Slater, A., 276Smith, B. H., 361Smyth, J. M., 622Spranca, M. D., 620Stephens, R., 18, 31, 98, 343, 362, 622Stern, Y., 130Stone, A. A., 622Suriyakham, L. W., 64Tan, O., 620Thomas, A. P., 68, 76Torok, D., 32Tosteson, T. D., 331, 480Trockel, M. T., 11Trombetti, A., 331Tukey, J.W., 56Turco, J. H., 331, 480Twenge, J. W., 296Valois, R. F., 599van Aken, M. A., 12, 14, 15Vernon, P. A., 621Villa, J., 34, 360, 445Villaume, S., 481Vohs, K. D., 300, 331Von der Schulenburg, C., 276von Hippel, P. T., 93Walk, R. D., 604, 609Walsh, D. A., 31Wechsler, H., 18Wegesin, D. J., 130Weinberg, G. H., 72Weinstein, Y., 31, 296, 385, 421Wells, G. M., 31Wessels, H., 298Wicki, M., 530Wilkinson, L., 251Williams, S., 264Willis, R. J., 557Winget, C., 600Wiseman, D., 34, 360, 445Wright, J. C., 329, 481Wyler, J., 622Xu, F., 194Yan, D., 360Yapko, M. D., 620Yong, E., 100Zemansky, J., 84Zhong, C., 310Zhong, L., 264Zhou, X., 300, 331
Subject IndexA 3 B interaction, 456, 462Abscissa, 42Algebra, 637–639Alpha level, 229–230, 238–239, 259and type I errors, 237Alternative hypothesis (H 1), 228American Psychological Association (APA),77, 89Analysis of regression, 540–541F-ratios, 541–543multiple regression, 549–550Analysis of variance (ANOVA), 365–411advantages of, 366, 370assumptions for, 391–392between-treatment variance, 372, 373Chi-square test statistic and, 588–589conceptual view of, 397–400degrees of freedom, 379–381effect size, 388–390, 408F distribution table, 384–385F-ratio, 373–374, 382F-ratio, distribution of, 383–385formulas, 376–377hypothesis testing, 385–388independent measures, 391–392In the Literature, 389logic of, 372–375mean square (MS), 381–382, 400–401notation, 375–376pooled variance, 400–401post hoc tests, 393–397sample size, 390–391, 400Scheffé test, 395–396SPSS, 404–405statistical hypotheses for, 369statistics organizer, 712, 714sum of squares (SS), 377–379summary tables, 382and t tests, 401–402terminology in, 367–369test statistic for, 370–371Tukey’s HSD test, 394–395Type I errors, 369–370, 393–394unequal sample sizes, 390–391within-treatment variance, 372–373ANOVA. See Analysis of variance (ANOVA)ANOVA formulas, 376–377ANOVA summary tables, 382Apparent limits, 41Arithmetic average. See MeansAxes of a graph, 42Bar graphs, 44–45, 90–91SPSS, 59two-factor ANOVA, 455Base, 640Best fitting line, 533Beta, 238Between-subjects research design, 301. Seealso Analysis of variance (ANOVA);Independent-measures t test;Two-factor ANOVABetween-subjects sum of squares,422–423Between-subjects variance, 420Between-treatments degrees of freedom(df between), 380–381Between-treatments sum of squares. SeeSS between treatmentsBetween-treatments variance, 372, 373,417–418, 420two-factor ANOVA, 460–461Biased statistics, 112, 117–119Bimodal distributions, 84Binomial data, 604Binomial distribution, 179–183, 188–189,606, 610normal approximation to, 181–183, 606,610–611Binomial test, 603–623assumptions for, 612data for, 606defined, 605example of, 608–609and goodness of fit test, 612–614hypotheses for, 605–606In the Literature, 611notation, 605score boundaries and, 610–611sign test, 614–617SPSS, 618statistics organizer, 706test statistic for, 606–607Binomial variables, 516Body of the normal curve, 168, 169, 647Categories, measurement, 35Causation, 497–498Cell of a matrix, 449Central limit theorem, 202distribution of sample means, 199–200Central tendency, 67–98, 530computing, 96defined, 69In the Literature, 89means. See Meansmedians. See Mediansmodes, 83–85, 88–89purpose, 68selecting a measure, 86–89skewed distributions, 93SPSS, 95symmetrical distributions, 92–93Chi (χ), 562Chi-square distribution, 567–569, 659Chi-square test, 12Chi-square test for goodness of fit, 562.See also Goodness of fit testChi-square test for independence, 574.See also Independence test usingChi-square statisticChi-square test statistic, 559–601and ANOVA, 588–589Cohen’s w, 582–584Cramér’s V, 584–586degrees of freedom, 567–569, 578–579effect size, 583, 584goodness of fit test, 561–573independence test using Chi-squarestatistic, 573–582and the independent-measures t test,588–589In the Literature, 572median test, 589–591nonparametric tests, 561–562,587–588phi-coefficient, 584–586special applications of, 587–591SPSS, 593–594Child Manifest Anxiety Scale, 296Class intervals, 39Cloud pattern, 224Coefficient of determination (r 2 ), 500–501,540–541effect size, 516–518Cohen’s deffect size, 251–254, 263, 294independent-measures design, 316–317,329repeated-measures design, 347t statistic, 279–281Cohen’s w, 582–584Computer software. See SPSS (StatisticalPackage for the Social Sciences)725
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EDITION10Statistics for theBehavior
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Statistics for the Behavioral Scien
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CONTENTSCHAPTER 1 Introduction to S
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CONTENTSvii5.4 Using z-Scores to St
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CONTENTSixCHAPTER 10 The t Test for
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CONTENTSxiCHAPTER 15 Correlation 48
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PREFACEMany students in the behavio
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PREFACExv3. The former Chapter 19,
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PREFACExviiTo the StudentA primary
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ABOUT THE AUTHORSFREDERICK J GRAVET
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PREVIEWBefore we begin our discussi
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4 CHAPTER 1 | Introduction to Stati
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10 CHAPTER 1 | Introduction to Stat
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PREVIEWThere is some evidence that
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36 CHAPTER 2 | Frequency Distributi
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Central TendencyCHAPTER3Tools You W
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SECTION 3.1 | Overview 69DEFINITION
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SECTION 3.2 | The Mean 71research r
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SECTION 3.2 | The Mean 73the distri
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SECTION 3.2 | The Mean 75TABLE 3.1S
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SECTION 3.2 | The Mean 77Table 3.2
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SECTION 3.3 | The Median 793.3 The
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SECTION 3.3 | The Median 81To find
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SECTION 3.4 | The Mode 832. What is
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SECTION 3.4 | The Mode 85FIGURE 3.7
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SECTION 3.5 | Selecting a Measure o
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SECTION 3.6 | Central Tendency and
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FOCUS ON PROBLEM SOLVING 95of centr
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PROBLEMS 976. A population of N = 1
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VariabilityCHAPTER4Tools You Will N
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SECTION 4.1 | Introduction to Varia
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SECTION 4.2 | Defining Standard Dev
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SECTION 4.3 | Measuring Variance an
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SECTION 4.4 | Measuring Standard De
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SECTION 4.5 | Sample Variance as an
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SECTION 4.6 | More about Variance a
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SUMMARY 1252. A population has a me
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FOCUS ON PROBLEM SOLVING 127VAR0000
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PROBLEMS 1299. For the following se
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z-Scores: Location of Scoresand Sta
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SECTION 5.1 | Introduction to z-Sco
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SECTION 5.2 | z-Scores and Location
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SECTION 5.2 | z-Scores and Location
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SECTION 5.3 | Other Relationships B
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SECTION 5.4 | Using z-Scores to Sta
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SECTION 5.4 | Using z-Scores to Sta
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SECTION 5.5 | Other Standardized Di
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SECTION 5.5 | Other Standardized Di
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SECTION 5.6 | Computing z-Scores fo
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SECTION 5.7 | Looking Ahead to Infe
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SUMMARY 153LEARNING CHECK1. In N =
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DEMONSTRATION 5.2 155sure that your
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PROBLEMS 15716. A distribution of e
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PREVIEWHow likely is it that you wi
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162 CHAPTER 6 | Probabilitythe prob
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164 CHAPTER 6 | Probability(Note: W
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166 CHAPTER 6 | ProbabilityFIGURE 6
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168 CHAPTER 6 | Probability■ The
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170 CHAPTER 6 | ProbabilityFinding
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172 CHAPTER 6 | Probabilityand exac
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174 CHAPTER 6 | ProbabilityFinally,
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176 CHAPTER 6 | ProbabilityXz-score
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178 CHAPTER 6 | ProbabilityBOX 6.1
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180 CHAPTER 6 | ProbabilityEXAMPLE
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182 CHAPTER 6 | ProbabilityFIGURE 6
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184 CHAPTER 6 | Probability6.5 Look
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186 CHAPTER 6 | Probability2. For a
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188 CHAPTER 6 | ProbabilityDEMONSTR
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190 CHAPTER 6 | Probability6. Draw
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Probability and Samples: TheDistrib
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SECTION 7.1 | Samples, Populations,
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SECTION 7.1 | Samples, Populations,
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SECTION 7.2 | The Distribution of S
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SECTION 7.3 | Probability and the D
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SECTION 7.3 | Probability and the D
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SECTION 7.4 | More about Standard E
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SECTION 7.4 | More about Standard E
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FOCUS ON PROBLEM SOLVING 219SUMMARY
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PROBLEMS 221STEP 2Compute the z-sco
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Introduction toHypothesis TestingCH
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SECTION 8.1 | The Logic of Hypothes
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SECTION 8.2 | Uncertainty and Error
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SECTION 8.2 | Uncertainty and Error
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SECTION 8.3 | More about Hypothesis
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SECTION 8.3 | More about Hypothesis
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SECTION 8.4 | Directional (One-Tail
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SECTION 8.5 | Concerns about Hypoth
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SECTION 8.5 | Concerns about Hypoth
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SECTION 8.6 | Statistical Power 255
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FOCUS ON PROBLEM SOLVING 2618. The
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PROBLEMS 263In this distribution, o
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PROBLEMS 26513. A random sample is
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Introduction to the t StatisticCHAP
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SECTION 9.1 | The t Statistic: An A
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SECTION 9.2 | Hypothesis Tests with
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SECTION 9.2 | Hypothesis Tests with
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SECTION 9.3 | Measuring Effect Size
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SECTION 9.4 | Directional Hypothese
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SUMMARY 2913. A researcher rejects
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DEMONSTRATION 9.1 293One-Sample Sta
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PROBLEMS 295PROBLEMS1. Under what c
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PROBLEMS 297b. Construct the 90% co
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The t Test for TwoIndependent Sampl
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SECTION 10.1 | Introduction to the
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SECTION 10.2 | The Null Hypothesis
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SECTION 10.3 | Hypothesis Tests wit
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SECTION 10.4 | Effect Size and Conf
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SECTION 10.5 | The Role of Sample V
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KEY TERMS 325SUMMARY1. The independ
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FOCUS ON PROBLEM SOLVING 327Group S
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PROBLEMS 329The t Statistic Finally
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PROBLEMS 331c. Write a sentence dem
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PROBLEMS 33319. If other factors ar
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PREVIEWIt’s the night before an e
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338 CHAPTER 11 | The t Test for Two
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PREVIEWYour job interview is tomorr
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Repeated-MeasuresAnalysis of Varian
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SECTION 13.1 | Overview of the Repe
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SECTION 13.2 | Hypothesis Testing a
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SECTION 13.3 | More about the Repea
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SPSS ® 4375. When the obtained F-r
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DEMONSTRATION 13.1 439you must also
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PROBLEMS 441PROBLEMS1. How does the
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PROBLEMS 44313. The following summa
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PROBLEMS 44523. The following data
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Two-FactorAnalysis of Variance(Inde
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SECTION 14.1 | An Overview of the T
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SECTION 14.2 | An Example of the Tw
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SECTION 14.3 | More about the Two-F
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SUMMARY 473SUMMARY1. A research stu
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FOCUS ON PROBLEM SOLVING 475Descrip
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DEMONSTRATION 14.1 477STEP 2STAGE 1
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PROBLEMS 479PROBLEMS1. Define each
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PROBLEMS 48115. Research results in
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PROBLEMS 483EasyFactorA TaskDifficu
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PREVIEWA recent report describing t
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488 CHAPTER 15 | CorrelationDEFINIT
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490 CHAPTER 15 | CorrelationDEFINIT
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492 CHAPTER 15 | CorrelationSubstit
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494 CHAPTER 15 | Correlationeither
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496 CHAPTER 15 | Correlationreliabl
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498 CHAPTER 15 | Correlation60Numbe
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500 CHAPTER 15 | CorrelationOne of
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502 CHAPTER 15 | CorrelationBOX 15.
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504 CHAPTER 15 | Correlation171615Z
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506 CHAPTER 15 | Correlation3. What
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508 CHAPTER 15 | Correlationon the
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510 CHAPTER 15 | CorrelationLEARNIN
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512 CHAPTER 15 | CorrelationScoresR
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514 CHAPTER 15 | CorrelationThe pro
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516 CHAPTER 15 | Correlationthat a
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518 CHAPTER 15 | Correlationmeasure
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520 CHAPTER 15 | CorrelationSUMMARY
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522 CHAPTER 15 | CorrelationTo comp
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524 CHAPTER 15 | CorrelationSTEP 2C
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526 CHAPTER 15 | Correlation14. Ide
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Introduction to RegressionCHAPTER16
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SECTION 16.1 | Introduction to Line
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SECTION 16.2 | The Standard Error o
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SECTION 16.3 | Introduction to Mult
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KEY TERMS 553a predicted portion an
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DEMONSTRATION 16.1 555DEMONSTRATION
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PROBLEMS 557Alzheimer’s disease.
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The Chi-Square Statistic:Tests for
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SECTION 17.1 | Introduction to Chi-
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SECTION 17.2 | An Example of the Ch
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SECTION 17.3 | The Chi-Square Test
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SECTION 17.4 | Effect Size and Assu
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SECTION 17.4 | Effect Size and Assu
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SECTION 17.5 | Special Applications
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SECTION 17.5 | Special Applications
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SUMMARY 591With df = 2 and α = .05
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SPSS ® SPSS ® 593General instruct
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DEMONSTRATION 17.1 595FOCUS ON PROB
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PROBLEMS 597Finally, we can add the
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PROBLEMS 599response, a sample of 1
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PROBLEMS 601a researcher obtains a
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PREVIEWIn 1960, Gibson and Walk des
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606 CHAPTER 18 | The Binomial Testp
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608 CHAPTER 18 | The Binomial Test2
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610 CHAPTER 18 | The Binomial Test
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612 CHAPTER 18 | The Binomial Test
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614 CHAPTER 18 | The Binomial TestT
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616 CHAPTER 18 | The Binomial Testt
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618 CHAPTER 18 | The Binomial TestB
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Basic Mathematics ReviewAPPENDIXAPR
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APPENDIX A | Basic Mathematics Revi
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648 APPENDIX B | Statistical Tables
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664 APPENDIX C | Solutions for Odd-
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Page 739 and 740: ReferencesAckerman, R. (2011). Meta
Page 741 and 742: REFERENCES 719Alzheimer’s disease
Page 743: REFERENCES 721of aging and estrogen
Page 748 and 749: 726 SUBJECT INDEXConfidence interva
Page 750 and 751: 728 SUBJECT INDEXIndependent random
Page 752 and 753: 730 SUBJECT INDEXResearch studies,
Page 754: 732 SUBJECT INDEXTwo-factor ANOVA (
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Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

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