Straightforward statistics. (2015)

• Record Type: Book
• Further Information: Note: Chieh-Chen Bowen.
• Authors: Bowen, Chieh-Chen
• Contents: Chapter 1: Introduction to Statistics; A. What Is Statistics?; A1. Population versus Sample; A2. Descriptive Statistics and Inferential Statistics; A3. Sampling a Population; B.Random Sampling Methods; B1. Simple Random Sampling; B2. Systematic Sampling; B3. Stratified Sampling; B4. Cluster Sampling; C.Scales of Measurement; C1. Nominal Scale; C2. Ordinal Scale; C3. Interval Scale; C4. Ratio Scale; Chapter 2: Summarizing and Organizing Data; A.Frequency Distribution Table; A1. Organizing and Summarizing Categorical Variables; A2. Organizing and Summarizing Numerical Variables; B.Graphs; B1. Bar Graphs and Histograms; B2. Pie Charts; C.Common Distribution Shapes; C1. Uniform Distribution; C2. Normal Distribution; C3. Skewed Distribution; D.EXCEL Step-by-Step Instruction for Calculating ?X from Frequency Table and Constructing a Bar Graph; Chapter 3: Descriptive Statistics; A.Measures of Central Tendency; A1. Mode; A2. Median; A3. Mean; B.Measures of Variability; B1. Range; B2. Variance and Standard Deviation for a Population; B3. Variance and Standard Deviation for a Sample; C.Boxplot: 5-Number Summary; Chapter 4: Standard Z Scores; A.Standard Z Scores; A1. Z Scores for a Population; A2. Z Scores for a Sample; B.Empirical Rule for Variables with Normal Distribution; Chapter 5: Basic Principles of Probability; A.Basic Terms and Mathematical Operations in Probability; A1. Basic Terms in Probability; A2. Mathematical Operations for Probabilities; A3. Binomial Probability Distribution; B.Practical Probability Application: Winning the Mega-Million Lottery; B1. The Dice Game; C.Linkage Between Probability and Z Score in Normal Distribution; D.Probabilities, Z Scores, and Raw Scores; Chapter 6: The Central Limit Theorem; A.Sampling Error; B.Sampling Distribution of Means and the Central Limit Theorem; C.The Law of Large Numbers; D.Relationships between Sample Means and the Population Mean; Chapter 7: Hypothesis Testing; A.Type I Error and Type II Error; B.The Four-Step Process to Conduct a Hypothesis Test; B1. Step 1: Explicitly State the Pair of Hypotheses; B2. Step 2: Identify the Rejection Zone for the Hypothesis Test; B3. Step 3: Calculate the Test Statistic; B4. Step 4: Make the Correct Conclusion; B5. Examples of the Four-Step Hypothesis Test in Action; C.Directional versus Non-Directional Hypothesis Testing; Chapter 8: One Sample t-Test When s Is Unknown; A.The Unknown s and Conducting the One-Sample t-Test; B.The t-Distribution, a Specific Curve for Every Degree of Freedom; C.Confidence Intervals; C1. Point Estimate; C2. Interval Estimate; Chapter 9: Independent Samples t-Tests; A.Introducing Independent Samples and the Decision Rule on Equal Variances; A1. Decision Rule for Equal Variances Assumed versus Equal Variances Not Assumed; B.Equal Variances Assumed; C.Equal Variances Not Assumed; D.Using SPSS to Run Independent Samples t-Tests; D1. Confidence Intervals of the Mean Difference; E.Effect Sizes; Chapter 10: Dependent Sample t-Test; A.Introducing Dependent Sample t-Tests; B.Calculations and the Hypothesis Testing Process in Dependent Sample t-Tests; B1. Mean, Standard Deviation, and Standard Error of the Differences; B2. Hypothesis Testing for Dependent Sample t-Tests; B3. Confidence Interval of the Differences; B4. Effect Size for the Dependent Sample t-Test; C.Using SPSS to Run Dependent Sample t-Tests; Chapter 11: Correlation; A.Pearson’s Correlation; A1. Pearson’s Correlation Formulas; A2. Describing and Interpreting Pearson’s r; A3. Showing the Pearson’s Correlation in Action; B.Hypothesis Testing for the Pearson’s Correlation; C.Interpretations and Assumptions of the Pearson’s Correlation; C1. Interpretations of Pearson’s Correlation; C2. Assumptions of Pearson’s Correlation; D.Special Types of Correlation; D1. Spearman’s Rank Correlation; D2. Partial Correlation Formula; D3. Point Bi-Serial Correlation; E.EXCEL Step-by-Step Instruction for Constructing a Scatterplot; F.EXCEL Step-by-Step Instruction on Calculating Pearson’s r; Chapter 12: Simple Regression; A.Y-Intercept and Slope; B.Hypothesis Testing with Simple Regression; B1. Standard Error of the Estimate; B2. The Mathematical Relationship between Pearson’s r and the Regression Slope, b; C.Assumptions for Simple Regression; D.Step-by-Step Instructions on SPSS; Chapter 13: One-Way Analysis of Variance (ANOVA); A.Introducing ANOVA; B.Between-Group Variance and Within-Group Variance; B1. Sum of Squares Between; B2. Sum of Squares Within; B3. Degrees of Freedom for between Groups and within Groups; C.Hypothesis Testing with ANOVA; C1. Post Hoc Comparisons; D.Statistical Assumptions of an ANOVA; E.Effect Size for One-Way ANOVA; F.Step-by-Step Instructions for Using SPSS to Run an ANOVA; Chapter 14: Chi-Square Tests for Goodness-of-Fit and Independence; A.The Chi-Square; B.Expected Frequency (E); B1. Expected Frequency under One-Way Frequency Table; B2. Expected Frequency under a Two-Way Contingency Table; C.Goodness-of-Fit Tests; C1. Hypothesis Testing with the Chi-Square Goodness-of-Fit Test; D.Chi-Square for Independence Test or a Contingency Table; D1. Hypothesis Testing with the Chi-Square for Independence Test;
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2015
• Extent: 1 online resource
• Subjects: 519.5; Social sciences -- Statistical methods
• Languages: English
• ISBNs: 9781483358901
• Related ISBNs: 9781483358918
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.