Statistics (Faculty publications / Bowling Green State University)
Edition: Second
Publisher: Kendall/Hunt
Published: 1970, 1974, 1977
Place of publication: Dubuque, Iowa, United States of America
Language: eng
Format: Spiral-bound
Number of pages: 254
ISBN-13: 9780840302564
Subjects: Educational statistics
Genres: Textbook
First sentence: The educator is constantly faced with an array of raw data from which an analysis or interpretation must be given.
Description: From the Preface:

This book is intended primarily for education students as a first course in statistics. It begins with statistical measures and procedures commonly used by educators, proceeds through correlation, regression, and prediction, and includes many parametric and non-parametric techniques and processes currently used in research in education. In essence, the book may be divided into two main parts: (1) efficient procedures for reducing and describing data, and (2) meaningful techniques of statistical inference.
<br>
The book does not presuppose a prior exposure to the field of statistics, nor des it presuppose mathematical knowledge beyond the simplest algebra. Statistics, by its very nature, is dependent upon complex mathematics. However, this book makes statistics understandable, practical, and applicable for the student who is likely not to be highly sophisticated in mathematics. For this reason, it includes very few important mathematical proofs and derivations of the measures, procedures, and techniques presented. The interested student who wishes to delve more deeply into such matters will find ample and excellent references in the bibliography.
Notes: Includes end-of-chapter exercises, an answer key, appendices, illustrated graphs and a comprehensive bibliography. First edition 1970 (purple cover); second edition 1974 (orange/brown, shown); third edition 1977 (red and white)
Table of contents: value: List of Figures; value: List of Tables; value: Preface; value: CHAPTER 1: Frequency Distributions and Graphic Representation; value: Frequency Distributions; value: Frequency Polygon; value: Percentage Frequency Polygon; value: Histogram; value: Smoothing the Frequency Polygon; value: Exercises; value: CHAPTER 2: Measures of Central Tendency; value: Mean by the Ungrouped Data Method; value: Median by the Ungrouped Data Method; value: Mode by the Ungrouped Data Method; value: Mean by the Grouped Data Method; value: Median by the Grouped Data Method; value: Mode by the Grouped Data Method; value: Combined or Weighted Mean; value: Exercises; value: CHAPTER 3: Measures of Variability; value: Quartile Deviation by the Grouped Data Method; value: Standard Deviation by the Deviation Method for Ungrouped Data; value: Standard Deviation by the Raw Score Method for Ungrouped Data; value: Standard Deviation by  the Grouped Data Method; value: Combined Standard Deviation; value: Standard Deviation Correction for Grouping Error; value: Effects of Adding, Subtracting, Multiplying, or Dividing by a Constant; value: Exercises; value: CHAPTER 4: The Normal Curve; value: A Mathematical Model; value: Equation; value: Characteristics; value: Area Under Curve; value: Standard Deviation as a Constant; value: Normal Curve Table; value: Applications; value: Area Under the Curve; value: Proportion Above Given Point; value: Proportion Between Two Given Points; value: Point Defining Given Proportion; value: Area Relationships and Probability; value: Exercises; value: CHAPTER 5: Derived Scores; value: Percentile Rank; value: Percentile and Percentile Rank; value: Percentile Rank from Grouped Data; value: From Cumulative Frequencies; value: From a Graph of Cumulative Percentages; value: Percentile Rank From Ordered Data; value: From Ordered Scores with Multiple Frequencies; value: From Ranks; value: Standard Scores; value: Computed Standard Scores; value: z-Scores; value: Transformed z-Scores; value: Normalized Standard Scores; value: T-Scores; value: Stanines; value: Exercises; value: CHAPTER 6:  Correlations; value: Product-Moment Coefficient; value: Derivation; value: Calculation in Ungrouped Data; value: From Deviations; value: From Raw Scores; value: Calculation in Grouped Data; value: Rank-Ordered Coefficient; value: Exercises; value: CHAPTER 7: Regression and Prediction; value: Regression Equations; value: Need; value: Derivation; value: Alternate Forms; value: Predicting X from Y; value: Prediction; value: From Regression Equation; value: Error of Prediction; value: Derivation; value: Application; value: Efficiency of Prediction; value: Coefficient of Alienation; value: Index of Predicting Efficiency; value: Exercises; value: CHAPTER 8: Testing Hypotheses Concerning Single Measures; value: Sample, Population, and Sampling Distributions; value: Random Sampling; value: Standard Error of the Mean; value: Testing Hypotheses Concerning the Mean in Large Samples; value: The Null Hypothesis; value: Significance Levels; value: Using Point Estimates in Testing Hypotheses; value: Using Confidence Intervals in Testing Hypotheses; value: Testing Hypotheses Concerning the Mean in Small Samples; value: Degrees of Freedom; value: The t Distributions; value: Using Point Estimates in Testing Hypotheses; value: Using Confidence Intervals in Testing Hypotheses; value: Testing Hypotheses Concerning Other Measures; value: Standard Deviation; value: Median; value: Percentage (Proportion); value: Correlation Coefficient; value: Type I and Type II Errors; value: Exercises; value: CHAPTER 9: Testing Hypotheses Concerning the Difference Between Two Independent Measures; value: Assumptions for Parametric Tests; value: One-Tailed and Two-Tailed Tests; value: Standard Error of the Difference Between Two Means; value: Significance of the Difference Between Independent Measures; value: Means—Large Samples (N1 + N2 > 30); value: Means—Small Samples (N1 + N2 < 30); value: Standard Deviations (for Two Large Samples Only); value: Medians (for Two Large Samples Only); value: Percentages (Proportions)—Large Samples; value: Correlation Coefficients (Large Samples); value: Exercises; value: CHAPTER 10: Testing Hypotheses Concerning the Differences Between Correlated Measures; value: Means (Same Group); value: Means (Matched Pairs); value: Standard Deviations (Variances); value: Proportions; value: Correlation Coefficients (From Same or Matched Samples); value: Exercises; value: CHAPTER 11: Analysis of Variance: One-Way Classification; value: The Need for an Overall Statistical Technique for Three or More Means; value: The F Distribution; value: The F-ratio and Assumptions for Analysis of Variance; value: The F-ratio; value: The Main Assumptions; value: Three Worked Examples and Computational Formulas for One-Way Analysis of Variance; value: Deviation Scores; value: Raw Scores—Equal n's; value: Raw Scores—Unequal n's; value: Pair-Wise Mean Comparisons in Analysis of Variance; value: Analyses Pre-Planned; value: Analyses Planned and Completed After a Significant F-ratio; value: Repeated Measures on the Same Individuals; value: Exercises; value: CHAPTER 12: Chi-Square and Other Non-Parametric Tests of Significance; value: Chi-Square; value: Introduction; value: Discussion of the Sampling Distribution of Chi-Square; value: One Sample Chi-Square Problem; value: Tests of Independence; value: Restrictions Upon Chi-Square; value: R x C Contingency Tables; value: Inter-Relationships of z, t, F, and Chi-Square Distributions; value: Other Non-Parametric Tests of Significance; value: Introduction; value: Sign Test for Two Independent Samples; value: Sign Test for Two Correlated Samples; value: Sign Test for k Independent Samples; value: Rank Test for Two Independent Samples; value: Rank Test for Two Correlated Samples; value: Rank Test for k Independent Samples; value: Exercises; value: Answers to Selected Exercises; value: Selected References; value: APPENDIX:; value: A. Values for the Normal Curve; value: B. Transformation of Pearson r's to Fisher z's; value: C. Critical Values of t; value: D. Random Digits; value: E. Table of Percentages; value: F. Squares and Square Roots; value: G1. Critical Values of F: 5% and 1% Points; value: G2. Critical Values of F: 25%; 10%; 2.5% and 0.5% Points; value: H.  Values of Chi-Square; value: I. Critical Values of T