Understanding Statistics As A Language

Understanding Statistics As A Language
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Описание книги

This book has successfully taught introductory statistics to non-mathematicians who had previously failed two semester of statistics or had completed the courses with no idea of what they had done. It uses a statistical decision model that is easy to understand and apply. Each chapter leads the student through one stats test using Minitab. The book helps the student understand which stat to use and what the results mean to a business person.

Оглавление

Robert Andrews. Understanding Statistics As A Language

CHAPTER 1: STATISTICS AS A LANGUAGE

Summarizing

Describing

Generalizing

Experimenting

Nominal Scale

Ordinal Scale

Interval Scale

[Table adapted from Elmore et al. (1997)]

Ratio Scale

Exercise

Using This Book

Example

CHAPTER 2: CENTRAL TENDENCIES

Ungrouped Data

Grouped Data

[The Frequency Table for Grouped Measurements was developed by Maurice H. Field (1996, 18)]

Ungroup Data

Odd Number of Scores with No Duplication in the Region of the Median

Odd Number of Scores with Duplication in the Region of the Median

Even Number of Values with No Duplication in the Region of the Median

Grouped Data

CHAPTER 3: DISTRIBUTION

Central Limit Theorem

Mean and Standard Deviation

Statistical Selection

Base Line

Addition Rule

Multiplication Rule

Practical Use of the Normal Curve

CHAPTER 4: MEASURES OF VARIABILITY

Calculation of a Percentile Rank

Computing Standard Deviation

MINITAB Example

CHAPTER 5 : GRAPHICS

Frequency Table

Contingency Table

Stem and Leaf Plot

Scatterplot

Bar Graph

Histogram

Pie Chart

Frequency Polygon

Tables

Charts

MINITAB

CHAPTER 6: INDEPENDENT GROUP t-TEST. Basic Concept

Requirements

Procedure

General Example

Minitab Procedure

Exercise

CHAPTER 7: ONE-WAY ANOVA. Basic Concept

Requirements

Procedure

Tukey Honestly Significant Difference Test

General Example

Minitab Procedure

Exercises

CHAPTER 8: PAIRED t-TEST

Requirements

Procedure

General Example

Minitab Example

Exercises

CHAPTER 9: PEARSON PRODUCT MOMENT CORRELATION. Basic Concept

Requirements

Correlation Coefficient

t-Test

Procedure

General Example

Scatter Plot

Altered Example

MINITAB Procedure

Exercises

CHAPTER 10: MANN-WHITNEY U TEST. Basic Concept

Requirements

Procedure

General Example

Minitab Example

Exercises

CHAPTER 11: KRUSKAL-WALLIS. Basic Concepts

Requirements

Procedure

General Example

Minitab Example

Exercises

CHAPTER 12: WILCOXON SIGNED-RANKS TEST. Basic Concept

Procedure

General Example

MINITAB Example

Exercises

CHAPTER 13: SPEARMAN RANK CORRELATION. Basic Concept

Procedure

General Example

MINITAB Example

Exercises

CHAPTER 14: FRIEDMAN TWO-WAY ANALYSIS OF VARIANCE TEST. Basic Concept

Requirements

Procedure

General Example

MINITAB Example

Exercise

CHAPTER 15: CHI-SQUARE GOODNESS OF FIT. Basic Concept

Requirements

Procedure

General Example

MINITAB Example

Exercise

CHAPTER 16: CHI-SQUARE TEST OF INDEPENDENCE. Basic Concept

Requirements

Procedure

General Example

MINITAB Example

Exercise

APPENDIX1: t DISTRIBUTION

APPENDIX 2: F DISTRIBUTION

APPENDIX 3: TUKEY HONESTLY SIGNIFICANT DIFFERENCE TABLE

APPENDIX 4: NORMAL DISTRIBUTION TABLE—Z PROCEDURES

APPENDIX 5: CHI-SQUARE DISTRIBUTION

APPENDIX 6: MANN-WHITNEY U-TEST

APPENDIX 7: WILCOXON MATCHED-PAIRS

APPENDIX 8: SPEARMAN rs

APPENDIX 9: DISTRIBUTION USED TO DETERMINE CRITICAL VALUE

APPENDIX 10: SAMPLE SIZE DATA

APPENDIX 11: RANDOM NUMBERS TABLE

APPENDIX 12: NETLIBRARY BIBLIOGRAPHY FOR STATISTICS

APPENDIX 13: WORKS CITED

Отрывок из книги

Vita: Robert D. Andrews, EdD

Robert D. Andrews, Dean of Graduate and Professional Studies at Bryan College, has taught statistics at the doctoral level for nearly a decade. He has also taught Hermeneutics and Research, an introductory course to the hermeneutics of research reporting and design. Dr. Andrews’ educational background includes a BA in history, an MDiv from Trinity Evangelical Divinity School, an MA in Educational Psychology from Tennessee Technological University, and an EdD in Educational Leadership from The University of Tennessee (Knoxville).

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In the behavioral sciences, research is conducted to determine the acceptability of hypotheses derived from theories of behavior. The researcher develops a hypothesis from a theory and collects empirical data to determine the acceptability of the hypothesis. The empirical data may lead to retaining, revising or rejecting the hypothesis and/or the theory from which the hypothesis was developed. (Siegel 1956)

Definition: A research hypothesis is a statement of theory, previous research results, or other information that leads to an anticipated outcome.

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