Essential Statistics for the Behavioral Sciences 1st Edition Privitera Solutions Manual
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Essential Statistics for the Behavioral Sciences 1st Edition Privitera Solutions Manual.
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Essential Statistics for the Behavioral Sciences 1st Edition Privitera Solutions Manual
Product details:
- ISBN-10 : 9781483353005
- ISBN-13 : 978-1483353005
- Author: Gregory J. Privitera
Employing the hallmark pedagogical support of his successful comprehensive text, award-winning author, teacher, and advisor Gregory J. Privitera offers a brief and engaging introduction to the field with Essential Statistics for the Behavioral Sciences. Practical examples, integrated SPSS® coverage and screenshots, and numerous learning tools make intimidating concepts accessible. Students will welcome Privitera′s clear instruction, conversational voice, and application of statistics to current, real-life research problems.
Table contents:
- Chapter 1: Introduction to Statistics
- 1.1: The Use of Statistics in Science
- 1.2: Descriptive and Inferential Statistics
- 1.3: Research Methods and Statistics
- 1.4: Scales of Measurement
- 1.5: Types of Variables for Which Data Are Measured
- 1.6: Research in Focus: Evaluating Data and Scales of Measurement
- 1.7: SPSS in Focus: Entering and Defining Variables
- 1: End-of-Chapter Problems (7)
- 1: Test Bank (28)
- Chapter 2: Summarizing Data: Frequency Distributions in Tables and Graphs
- 2.1: Why Summarize Data?
- 2.2: Frequency Distributions for Grouped Data
- 2.3: Identifying Percentile Points and Percentile Ranks
- 2.4: SPSS in Focus: Frequency Distributions for Quantitative Data
- 2.5: Frequency Distributions for Ungrouped Data
- 2.6: Research in Focus: Summarizing Demographic Information
- 2.7: SPSS in Focus: Frequency Distributions for Categorical Data
- 2.8: Graphing Distributions: Continuous Data
- 2.9: Graphing Distributions: Discrete and Categorical Data
- 2.10: Research in Focus: Frequencies and Percents
- 2.11: SPSS in Focus: Histograms, Bar Charts, and Pie Charts
- 2: End-of-Chapter Problems (9)
- 2: Test Bank (27)
- Chapter 3: Summarizing Data: Central Tendency
- 3.1: Introduction to Central Tendency
- 3.2: Measures of Central Tendency
- 3.3: Characteristics of the Mean
- 3.4: Choosing an Appropriate Measure of Central Tendency
- 3.5: Research in Focus: Describing Central Tendency
- 3.6: SPSS in Focus: Mean, Median, and Mode
- 3: End-of-Chapter Problems (10)
- 3: Test Bank (28)
- Chapter 4: Summarizing Data: Variability
- 4.1: Measuring Variability
- 4.2: The Range and Interquartile Range
- 4.3: Research in Focus: Reporting the Range
- 4.4: The Variance
- 4.5: Explaining Variance for Populations and Samples
- 4.6: The Computational Formula for Variance
- 4.7: The Standard Deviation
- 4.8: What Does the Standard Deviation Tell Us?
- 4.9: Characteristics of the Standard Deviation
- 4.10: SPSS in Focus: Range, Variance, and Standard Deviation
- 4: End-of-Chapter Problems (11)
- 4: Test Bank (27)
- Chapter 5: Probability, Normal Distributions, and z Scores
- 5.1: Introduction to Probability
- 5.2: Calculating Probability
- 5.3: Probability and the Normal Distribution
- 5.4: Characteristics of the Normal Distribution
- 5.5: Research in Focus: The Statistical Norm
- 5.6: The Standard Normal Distribution and z Scores
- 5.7: A Brief Introduction to the Unit Normal Table
- 5.8: Locating Proportions
- 5.9: Locating Scores
- 5.10: SPSS in Focus: Converting Raw Scores to Standard z Scores
- 5: End-of-Chapter Problems (21)
- 5: Test Bank (30)
- Chapter 6: Characteristics of the Sample Mean
- 6.1: Selecting Samples From Populations
- 6.2: Selecting a Sample: Who’s In and Who’s Out?
- 6.3: Sampling Distributions: The Mean
- 6.4: The Standard Error of the Mean
- 6.5: Factors That Decrease Standard Error
- 6.6: SPSS in Focus: Estimating the Standard Error of the Mean
- 6.7: APA in Focus: Reporting the Standard Error
- 6.8: Standard Normal Transformations With Sampling Distributions
- 6: End-of-Chapter Problems (8)
- 6: Test Bank (28)
- Chapter 7: Hypothesis Testing: Significance, Effect Size, and Power
- 7.1: Inferential Statistics and Hypothesis Testing
- 7.2; Four Steps to Hypothesis Testing
- 7.3: Hypothesis Testing and Sampling Distributions
- 7.4: Making a Decision: Types of Error
- 7.5: Testing for Significance: Examples Using the z Test
- 7.6: Research in Focus: Directional Versus Nondirectional Tests
- 7.7: Measuring the Size of and Effect: Cohen’s d
- 7.8: Effect, Size, Power, and Sample Space
- 7.9: Additional Factors That Increase Power
- 7.10: SPSS in Focus: A Preview for Chapters 8 to 14
- 7.11: APA in Focus: Reporting the Test Statistic and Effect Size
- 7: End-of-Chapter Problems (7)
- 7: Test Bank (28)
- Chapter 8: Testing Means: One-Sample t Test With Confidence Intervals
- 8.1: Going From z to t
- 8.2: The Degrees of Freedom
- 8.3: Reading the t Table
- 8.4: Computing the One-Sample t Test
- 8.5: Effect Size for the One-Sample t Test
- 8.6: Confidence Intervals for the One-Sample t Test
- 8.7: Inferring Significance and Effect Size From a Confidence Interval
- 8.8: SPSS in Focus: One-Sample t Test and Confidence Intervals
- 8.9: APA in Focus: Reporting the t Statistic and Confidence Intervals
- 8: End-of-Chapter Problems (11)
- 8: Test Bank (28)
- Chapter 9: Testing Means: Two-Independent-Sample t Test With Confidence Intervals
- 9.1: Introduction to the Between-Subjects Design
- 9.2: Selecting Samples for Comparing Two Groups
- 9.3: Variability and Comparing Differences Between Two Groups
- 9.4: Computing the Two-Independent-Sample t Test
- 9.5: Effect Size for the Two-Independent-Sample t Test
- 9.6: Confidence Intervals for the Two-Independent-Sample t Test
- 9.7: Inferring Significance and Effect Size From a Confidence Interval
- 9.8: SPSS in Focus: Two-Independent-Sample t Test and Confidence Intervals
- 9.9: APA in Focus: Reporting the t Statistic and Confidence Intervals
- 9: End-of-Chapter Problems (6)
- 9: Test Bank (12)
- Chapter 10: Testing Means: Related-Samples t Test With Confidence Intervals
- 10.1: Related Samples Designs
- 10.2: Introduction to the Related-Samples t Test
- 10.3: Computing the Related-Samples t Test
- 10.4: Measuring Effect Size for the Related-Samples t Test
- 10.5: Confidence Intervals for the Related-Samples t Test
- 10.6: Inferring Significance and Effect Size From a Confidence Interval
- 10.7: SPSS in Focus: Related-Samples t Test and Confidence Intervals
- 10.8: APA in Focus: Reporting the t Statistic and Confidence Intervals
- 10: End-of-Chapter Problems (11)
- 10: Test Bank (31)
- Chapter 11: One-Way Analysis of Variance: Between-Subjects and Within-Subjects (Repeated-Measures) Designs
- 11.1: An Introduction to Analysis of Variance
- 11.2: The Between-Subjects Design for Analysis of Variance
- 11.3: Computing the One-Way Between-Subjects ANOVA
- 11.4: Post Hoc Tests: An Example Using Tukey’s HSD
- 11.5: SPSS in Focus: The One-Way Between-Subjects ANOVA
- 11.6: The Within-Subjects Design for Analysis of Variance
- 11.7: Computing the One-Way Within-Subjects ANOVA
- 11.8: Post Hoc Tests for the Within-Subjects Design
- 11.9: SPSS in Focus: The One-Way Within-Subjects ANOVA
- 11.10: A Comparison of Within-Subjects and Between-Subjects Designs for ANOVA: Implications for Power
- 11.11: APA in Focus: Reporting the Results of the One-Way ANOVAs
- 11: End-of-Chapter Problems (21)
- 11: Test Bank (49)
- Chapter 12: Two-Way Analysis of Variance: Between-Subjects Factorial Design
- 12.1: Introduction to Factorial Designs
- 12.2: Structure and Notation for the Two-Way ANOVA
- 12.3: Describing Variability: Main Effects and Interactions
- 12.4: Computing the Two-Way Between-Subjects ANOVA
- 12.5: Analyzing Main Effects and Interactions
- 12.6: Measuring the Effect Size for Main Effects and the Interaction
- 12.7: SPSS in Focus: The Two-Way Between-Subjects ANOVA
- 12.8: APA in Focus: Reporting the Results of the Two-Way ANOVAs
- 12: End-of-Chapter Problems (10)
- 12: Test Bank (28)
- Chapter 13: Correlation and Linear Regression
- 13.1: The Structure of Data Used for Identifying Patterns and Making Predictions
- 13.2: Fundamentals of the Correlation
- 13.3: The Pearson Correlation Coefficient
- 13.4: SPSS in Focus: Pearson Correlation Coefficient
- 13.5: Assumptions and Limitations for Linear Correlations
- 13.6: Alternatives to Pearson: Spearman, Point-Biserial, and Phi
- 13.7: SPSS in Focus: Computing the Alternatives to Pearson
- 13.8: Fundamentals of Linear Regression
- 13.9: Using the Method of Least Squares to Find the Regression Line
- 13.10: Using Analysis of Regression to Determine Significance
- 13.11: SPSS in Focus: Analysis of Regression
- 13.12: A Look Ahead to Multiple Regression
- 13.13: APA in Focus: Reporting Correlations and Linear Regression
- 13: End-of-Chapter Problems (21)
- 13: Test Bank (43)
- Chapter 14: Chi-Square Tests: Goodness-of-Fit and the Test for Independence
- 14.1: Distinguishing Parametric and Nonparametric Tests
- 14.2: The Chi-Square Goodness-of-Fit Test
- 14.3: SPSS in Focus: The Chi-Square Goodness-of-Fit Test
- 14.4: Interpreting the Chi-Square Goodness-of-Fit Test
- 14.5: The Chi-Square Test for Independence
- 14.6: Measures of Effect Size for the Chi-Square Test for Independence
- 14.7: SPSS in Focus: The Chi-Square Test for Independence
- 14.8: APA in Focus: Reporting the Chi-Square Tests
- 14: End-of-Chapter Problems (10)
- 14: Test Bank (28)
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