Statistics alive! / (Record no. 18332)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 12393cam a22003858i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 21527763 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20211111145812.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200512s2020 cau b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2020010457 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781544328263 |
| Qualifying information | (paperback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | DLC |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HA29 |
| Item number | .S7974 2020 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 STE P |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Steinberg, Wendy J., |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Statistics alive! / |
| Statement of responsibility, etc. | Wendy J. Steinberg, Matthew Price. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Third Edition. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2008 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Thousand Oaks : |
| Name of producer, publisher, distributor, manufacturer | SAGE Publishing, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 590 p. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Media type code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Carrier type code | nc |
| Source | rdacarrier |
| 500 ## - GENERAL NOTE | |
| General note | Revised edition of Statistics alive!, c2011. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | List of Figures<br/>List of Tables<br/>Preface<br/>Supplemental Material for Use With Statistics Alive!<br/>Acknowledgments<br/>About the Authors<br/>PART I. PRELIMINARY INFORMATION: "FIRST THINGS FIRST"<br/>Module 1. Math Review, Vocabulary, and Symbols<br/>Getting Started<br/>Common Terms and Symbols in Statistics<br/>Fundamental Rules and Procedures for Statistics<br/>More Rules and Procedures<br/>Module 2. Measurement Scales<br/>What Is Measurement?<br/>Scales of Measurement<br/>Continuous Versus Discrete Variables<br/>Real Limits<br/>PART II. TABLES AND GRAPHS: "ON DISPLAY"<br/>Module 3. Frequency and Percentile Tables<br/>Why Use Tables?<br/>Frequency Tables<br/>Relative Frequency or Percentage Tables<br/>Grouped Frequency Tables<br/>Percentile and Percentile Rank Tables<br/>SPSS Connection<br/>Module 4. Graphs and Plots<br/>Why Use Graphs?<br/>Graphing Continuous Data<br/>Symmetry, Skew, and Kurtosis<br/>Graphing Discrete Data<br/>SPSS Connection<br/>PART III. CENTRAL TENDENCY: "BULL'S-EYE"<br/>Module 5. Mode, Median, and Mean<br/>What Is Central Tendency?<br/>Mode<br/>Median<br/>Mean<br/>Skew and Central Tendency<br/>SPSS Connection<br/>PART IV. DISPERSION: "FROM HERE TO ETERNITY"<br/>Module 6. Range, Variance, and Standard Deviation<br/>What Is Dispersion?<br/>Range<br/>Variance<br/>Standard Deviation<br/>Mean Absolute Deviation<br/>Controversy: N Versus n - 1<br/>SPSS Connection<br/>PART V. THE NORMAL CURVE AND STANDARD SCORES: "WHAT'S THE SCORE?"<br/>Module 7. Percent Area and the Normal Curve<br/>What Is a Normal Curve?<br/>History of the Normal Curve<br/>Uses of the Normal Curve<br/>Looking Ahead<br/>Module 8. z Scores<br/>What Is a Standard Score?<br/>Benefits of Standard Scores<br/>Calculating z Scores<br/>Comparing Scores Across Different Tests<br/>SPSS Connection<br/>Module 9. Score Transformations and Their Effects<br/>Why Transform Scores?<br/>Effects on Central Tendency<br/>Effects on Dispersion<br/>A Graphic Look at Transformations<br/>Summary of Transformation Effects<br/>Some Common Transformed Scores<br/>Looking Ahead<br/>PART VI. PROBABILITY: "ODDS ARE"<br/>Module 10. Probability Definitions and Theorems<br/>Why Study Probability?<br/>Probability as a Proportion<br/>Equally Likely Model<br/>Mutually Exclusive Outcomes<br/>Addition Theorem<br/>Independent Outcomes<br/>Multiplication Theorem<br/>A Brief Review<br/>Probability and Inference<br/>Module 11. The Binomial Distribution<br/>What Are Dichotomous Events?<br/>Finding Probabilities by Listing and Counting<br/>Finding Probabilities by the Binomial Formula<br/>Finding Probabilities by the Binomial Table<br/>Probability and Experimentation<br/>Looking Ahead<br/>Nonnormal Data<br/>PART VII. INFERENTIAL THEORY: "OF TRUTH AND RELATIVITY"<br/>Module 12. Sampling, Variables, and Hypotheses<br/>From Description to Inference<br/>Sampling<br/>Variables<br/>Hypotheses<br/>Module 13. Errors and Significance<br/>Random Sampling Revisited<br/>Sampling Error<br/>Significant Difference<br/>The Decision Table<br/>Type I Error<br/>Type II Error<br/>Module 14. The z Score as a Hypothesis Test<br/>Inferential Logic and the z Score<br/>Constructing a Hypothesis Test for a z Score<br/>Looking Ahead<br/>PART VIII. THE ONE-SAMPLE TEST: "ARE THEY FROM OUR PART OF TOWN?"<br/>Module 15. Standard Error of the Mean<br/>Central Limit Theorem<br/>Sampling Distribution of the Mean<br/>Calculating the Standard Error of the Mean<br/>Sample Size and the Standard Error of the Mean<br/>Looking Ahead<br/>Module 16. Normal Deviate Z Test<br/>Prototype Logic and the Z Test<br/>Calculating a Normal Deviate Z Test<br/>Examples of Normal Deviate Z Tests<br/>Decision Making With a Normal Deviate Z Test<br/>Looking Ahead<br/>Module 17. One-Sample t Test<br/>Z Test Versus t Test<br/>Comparison of Z-Test and t-Test Formulas<br/>Degrees of Freedom<br/>Biased and Unbiased Estimates<br/>When Do We Reject the Null Hypothesis?<br/>One-Tailed Versus Two-Tailed Tests<br/>The t Distribution Versus the Normal Distribution<br/>The t Table Versus the Normal Curve Table<br/>Calculating a One-Sample t Test<br/>Interpreting a One-Sample t Test<br/>Looking Ahead<br/>SPSS Connection<br/>Module 18. Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter Estimates<br/>What It Means to Reject the Null<br/>Refining Error<br/>Decision Making With a One-Sample t Test<br/>Dichotomous Decisions Versus Reports of Actual p<br/>Parameter Estimation: Point and Interval<br/>SPSS Connection<br/>PART IX. THE TWO-SAMPLE TEST: "OURS IS BETTER THAN YOURS"<br/>Module 19. Standard Error of the Difference Between the Means<br/>One-Sample Versus Two-Sample Studies<br/>Sampling Distribution of the Difference Between the Means<br/>Calculating the Standard Error of the Difference Between the Means<br/>Importance of the Size of the Standard Error of the Difference Between the Means<br/>Looking Ahead<br/>Module 20. t Test With Independent Samples and Equal Sample Sizes<br/>A Two-Sample Study<br/>Inferential Logic and the Two-Sample t Test<br/>Calculating a Two-Sample t Test<br/>Interpreting a Two-Sample t Test<br/>Looking Ahead<br/>SPSS Connection<br/>Module 21. t Test With Unequal Sample Sizes<br/>What Makes Sample Sizes Unequal?<br/>Comparison of Special-Case and Generalized Formulas<br/>Calculating a t Test With Unequal Sample Sizes<br/>Interpreting a t Test With Unequal Sample Sizes<br/>SPSS Connection<br/>Module 22. t Test With Related Samples<br/>What Makes Samples Related?<br/>Comparison of Special-Case and Related-Samples Formulas<br/>Advantage and Disadvantage of Related Samples<br/>Direct-Difference Formula<br/>Calculating a t Test With Related Samples<br/>Interpreting a t Test With Related Samples<br/>SPSS Connection<br/>Module 23. Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter Estimates<br/>What Is Confidence?<br/>Refining Error and Confidence<br/>Decision Making With a Two-Sample t Test<br/>Dichotomous Decisions Versus Reports of Actual p<br/>Parameter Estimation: Point and Interval<br/>SPSS Connection<br/>PART X. THE MULTISAMPLE TEST: "OURS IS BETTER THAN YOURS OR THEIRS"<br/>Module 24. ANOVA Logic: Sums of Squares, Partitioning, and Mean Squares<br/>When Do We Use ANOVA?<br/>ANOVA Assumptions<br/>Partitioning of Deviation Scores<br/>From Deviation Scores to Variances<br/>From Variances to Mean Squares<br/>From Mean Squares to F<br/>Looking Ahead<br/>Module 25. One-Way ANOVA: Independent Samples and Equal Sample Sizes<br/>What Is a One-Way ANOVA?<br/>Inferential Logic and ANOVA<br/>Deviation Score Method<br/>Raw Score Method<br/>Remaining Steps for Both Methods: Mean Squares and F<br/>Interpreting a One-Way ANOVA<br/>The ANOVA Summary Table<br/>SPSS Connection<br/>PART XI. POST HOC TESTS: "SO WHO'S RESPONSIBLE?"<br/>Module 26. Tukey HSD Test<br/>Why Do We Need a Post Hoc Test?<br/>Calculating the Tukey HSD<br/>Interpreting the Tukey HSD<br/>SPSS Connection<br/>Module 27. Scheffe Test<br/>Why Do We Need a Post Hoc Test?<br/>Calculating the Scheffe<br/>Interpreting the Scheffe<br/>SPSS Connection<br/>PART XII. MORE THAN ONE INDEPENDENT VARIABLE: "DOUBLE DUTCH JUMP ROPE"<br/>Module 28. Main Effects and Interaction Effects<br/>What Is a Factorial ANOVA?<br/>Factorial ANOVA Designs<br/>Number and Type of Hypotheses<br/>Main Effects<br/>Interaction Effects<br/>Looking Ahead<br/>Module 29. Factorial ANOVA<br/>Review of Factorial ANOVA Designs<br/>Data Setup and Preliminary Expectations<br/>Sums of Squares Formulas<br/>Calculating Factorial ANOVA Sums of Squares: Raw Score Method<br/>Factorial Mean Squares and Fs<br/>Interpreting a Factorial F Test<br/>The Factorial ANOVA Summary Table<br/>SPSS Connection<br/>PART XIII. NONPARAMETRIC STATISTICS: "WITHOUT FORM OR VOID"<br/>Module 30. One-Variable Chi-Square: Goodness of Fit<br/>What Is a Nonparametric Test?<br/>Chi-Square as a Goodness-of-Fit Test<br/>Formula for Chi-Square<br/>Inferential Logic and Chi-Square<br/>Calculating a Chi-Square Goodness of Fit<br/>Interpreting a Chi-Square Goodness of Fit<br/>Looking Ahead<br/>SPSS Connection<br/>Module 31. Two-Variable Chi-Square: Test of Independence<br/>Chi-Square as a Test of Independence<br/>Prerequisites for a Chi-Square Test of Independence<br/>Formula for a Chi-Square<br/>Finding Expected Frequencies<br/>Calculating a Chi-Square Test of Independence<br/>Interpreting a Chi-Square Test of Independence<br/>SPSS Connection<br/>PART XIV. EFFECT SIZE AND POWER: "HOW MUCH IS ENOUGH?"<br/>Module 32. Measures of Effect Size<br/>What Is Effect Size?<br/>For Two-Sample t Tests<br/>For ANOVA F Tests<br/>For Chi-Square Tests<br/>Module 33. Power and the Factors Affecting It<br/>What Is Power?<br/>Factors Affecting Power<br/>Putting It Together: Alpha, Power, Effect Size, and Sample Size<br/>Looking Ahead<br/>PART XV. CORRELATION: "WHITHER THOU GOEST, I WILL GO"<br/>Module 34. Relationship Strength and Direction<br/>Experimental Versus Correlational Studies<br/>Plotting Correlation Data<br/>Relationship Strength<br/>Relationship Direction<br/>Linear and Nonlinear Relationships<br/>Outliers and Their Effects<br/>Looking Ahead<br/>SPSS Connection<br/>Module 35. Pearson r<br/>What Is a Correlation Coefficient?<br/>Calculation of a Pearson r<br/>Formulas for Pearson r<br/>z-Score Scatterplots and r<br/>Calculating Pearson r: Deviation Score Method<br/>Interpreting a Pearson r Coefficient<br/>Looking Ahead<br/>SPSS Connection<br/>Module 36. Correlation Pitfalls<br/>Effect of Sample Size on Statistical Significance<br/>Statistical Significance Versus Practical Importance<br/>Effect of Restriction in Range<br/>Effect of Sample Heterogeneity or Homogeneity<br/>Effect of Unreliability in the Measurement Instrument<br/>Correlation Versus Causation<br/>PART XVI. LINEAR PREDICTION: "YOU'RE SO PREDICTABLE"<br/>Module 37. Linear Prediction<br/>Correlation Permits Prediction<br/>Logic of a Prediction Line<br/>Equation for the Best-Fitting Line<br/>Using a Prediction Equation to Predict Scores on Y<br/>Another Calculation Example<br/>SPSS Connection<br/>Module 38. Standard Error of Prediction<br/>What Is a Confidence Interval?<br/>Correlation and Prediction Error<br/>Distribution of Prediction Error<br/>Calculating the Standard Error of Prediction<br/>Using the Standard Error of Prediction to Calculate Confidence Intervals<br/>Factors Influencing the Standard Error of Prediction<br/>Another Calculation Example<br/>Module 39. Introduction to Multiple Regression<br/>What Is Regression?<br/>Prediction Error, Revisited<br/>Why Multiple Regression?<br/>The Multiple Regression Equation<br/>Multiple Regression and Predicted Variance<br/>Hypothesis Testing in Multiple Regression<br/>An Example<br/>The General Linear Model<br/>SPSS Connection<br/>PART XVII. REVIEW: "SAY IT AGAIN, SAM"<br/>Module 40. Selecting the Appropriate Analysis<br/>Review of Descriptive Methods<br/>Review of Inferential Methods<br/>Appendix A: Normal Curve Table<br/>Appendix B: Binomial Table<br/>Appendix C: t Table<br/>Appendix D: F Table (ANOVA)<br/>Appendix E: Studentized Range Statistic (for Tukey HSD)<br/>Appendix F: Chi-Square Table<br/>Appendix G: Correlation Table<br/>Appendix H: Odd Solutions to Textbook Exercises<br/>References<br/>Index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Statistics need not be dull and dry! Statistics Alive! presents essential content on statistical analysis in short, digestible modules. Written in a conversational tone with anecdotal stories and light-hearted humor, this text is an enjoyable read. Students are shown the underlying logic to what they're learning, and well-crafted practice and self-check features help ensure that that new knowledge sticks. Coverage of probability theory and mathematical proofs is minimized without sacrificing the rigor of the overall text. Instructors will find Statistics Alive! perfect for use in departments of psychology, counseling, education, and more. In the Third Edition, new coauthor Matthew Price includes simplified practice problems and increased coverage of conceptual statistics, integrated discussions of effect size with hypothesis testing, and new coverage of ethical practices for conducting research"-- |
| Assigning source | Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Social sciences |
| General subdivision | Statistical methods. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Price, Matthew, |
| Relator term | author. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | orignew |
| d | 1 |
| e | ecip |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Reference text books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Date last checked out |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | R-21/2 | All India Institute of Speech and Hearing | All India Institute of Speech and Hearing | 11/11/2021 | 519.5 STE P | 22867 | 11/11/2021 | 11/11/2021 | Reference text books | ||||||
| Dewey Decimal Classification | 44/1 | All India Institute of Speech and Hearing | All India Institute of Speech and Hearing | 11/11/2021 | 8 | 519.5 STE P;1 | 22868 | 09/03/2024 | 11/11/2021 | Stack text books | 01/03/2024 |