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Student study guide with IBM® SPSS® workbook for Essential statistics for the behavioral sciences / Gregory J. Privitera,

By: Publisher: London SAGE [2016]Copyright date: ©2016Edition: Second editionDescription: x, 356 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781544307695
  • 1544307691
  • 9781544328027
Subject(s): DDC classification:
  • 300.15195 P961 23 P 961
LOC classification:
  • HA29 .P7553 2019
Contents:
Part I: Introduction and descriptive statistics. Introduction to statistics -- Summarizing data: frequency distributions in tables and graphs -- Summarizing data: central tendency -- Summarizing data: variability -- Part II: Probability and the foundations of inferential statistics. Probability, normal distribution, and z scores -- Characteristics of the sample mean -- Hypothesis testing: significance, effect size, and power -- Part III: Making inferences about one or two means. Testing means: one-sample t test with confidence intervals -- Testing means: two-independent-sample t test with confidence intervals -- Testing means: the related-samples t test with confidence intervals -- Part IV: Making inferences about the variability of two or more means. One-way analysis of variance: between-subjects and within-subjects (repeated-measures) designs -- Two-way analysis of variance: between-subjects factorial design -- Part V: Making inferences about patterns, prediction, and nonparametric tests. Correlation and linear regression -- Chi-square tests: goodness of fit and the test for independence.
Item type: كتاب
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كتاب كتاب Central Library المكتبة المركزية 300.15195 P961 (Browse shelf(Opens below)) Available قاعة الكتب

Includes bibliographical references and index.

Part I: Introduction and descriptive statistics. Introduction to statistics -- Summarizing data: frequency distributions in tables and graphs -- Summarizing data: central tendency -- Summarizing data: variability -- Part II: Probability and the foundations of inferential statistics. Probability, normal distribution, and z scores -- Characteristics of the sample mean -- Hypothesis testing: significance, effect size, and power -- Part III: Making inferences about one or two means. Testing means: one-sample t test with confidence intervals -- Testing means: two-independent-sample t test with confidence intervals -- Testing means: the related-samples t test with confidence intervals -- Part IV: Making inferences about the variability of two or more means. One-way analysis of variance: between-subjects and within-subjects (repeated-measures) designs -- Two-way analysis of variance: between-subjects factorial design -- Part V: Making inferences about patterns, prediction, and nonparametric tests. Correlation and linear regression -- Chi-square tests: goodness of fit and the test for independence.