Basic statistics for social workers [[electronic resource] /] / Robert A. Schneider |
Autore | Schneider Robert A |
Edizione | [Rev. ed.] |
Pubbl/distr/stampa | Lanham, Md., : University Press Of America, c2010 |
Descrizione fisica | 1 online resource (112 p.) |
Disciplina | 519.5 |
Soggetto topico | Social service - Statistical methods |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-61427-8
0-7618-4933-5 9786613926722 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910463278103321 |
Schneider Robert A
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Lanham, Md., : University Press Of America, c2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Basic statistics for social workers [[electronic resource] /] / Robert A. Schneider |
Autore | Schneider Robert A |
Edizione | [Rev. ed.] |
Pubbl/distr/stampa | Lanham, Md., : University Press Of America, c2010 |
Descrizione fisica | 1 online resource (112 p.) |
Disciplina | 519.5 |
Soggetto topico | Social service - Statistical methods |
ISBN |
1-283-61427-8
0-7618-4933-5 9786613926722 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910788529003321 |
Schneider Robert A
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Lanham, Md., : University Press Of America, c2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Bibliometrics in social work / / Gary Holden, Gary Rosenberg, Kathleen Barker, editors |
Pubbl/distr/stampa | London ; ; New York : , : Routledge, , 2012 |
Descrizione fisica | 1 online resource (162 p.) ill |
Disciplina |
361.3/072/7
361.30727 |
Altri autori (Persone) |
BarkerKathleen <1951->
HoldenGary <1951-> RosenbergGary |
Soggetto topico |
Social service - Statistical methods
Bibliometrics |
Soggetto genere / forma | Electronic books. |
ISBN |
1-136-44207-3
0-203-05146-7 1-283-96756-1 1-136-44200-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Bibliometrics in Social Work; Title Page; Copyright Page; Table of Contents; ABOUT THE EDITORS; Tracing Thought Through Time and Space: A Selective Review of Bibliometrics in Social Work; What Happens to Our Ideas? A Bibliometric Analysis of Articles in Social Work in Health Care in the 1990s; Bibliometrics: A Potential Decision Making Aid in Hiring, Reappointment, Tenure and Promotion Decisions; Following in the Footnotes of Giants: Citation Analysis and Its Discontents; The Paradox of Faculty Publications in Professional Journals; Politics of Personnel and Landscapes of Knowledge
Bibliometrics: The Best Available Information?Bibliometrics and Social Work: A Two-Edged Sword Can Still Be a Blunt Instrument; Shallow Science or Meta-Cognitive Insights: A Few Thoughts on Reflection via Bibliometrics; Index |
Record Nr. | UNISA-996204939503316 |
London ; ; New York : , : Routledge, , 2012 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Bibliometrics in social work / / Gary Holden, Gary Rosenberg, Kathleen Barker, editors |
Pubbl/distr/stampa | London, : Routledge, 2012 |
Descrizione fisica | 1 online resource (162 p.) ill |
Disciplina | 361.3/072/7 |
Altri autori (Persone) |
HoldenGary
RosenbergGary BarkerKathleen |
Soggetto topico |
Social service - Statistical methods
Bibliometrics |
ISBN |
1-136-44207-3
0-203-05146-7 1-283-96756-1 1-136-44200-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Bibliometrics in Social Work; Title Page; Copyright Page; Table of Contents; ABOUT THE EDITORS; Tracing Thought Through Time and Space: A Selective Review of Bibliometrics in Social Work; What Happens to Our Ideas? A Bibliometric Analysis of Articles in Social Work in Health Care in the 1990s; Bibliometrics: A Potential Decision Making Aid in Hiring, Reappointment, Tenure and Promotion Decisions; Following in the Footnotes of Giants: Citation Analysis and Its Discontents; The Paradox of Faculty Publications in Professional Journals; Politics of Personnel and Landscapes of Knowledge
Bibliometrics: The Best Available Information?Bibliometrics and Social Work: A Two-Edged Sword Can Still Be a Blunt Instrument; Shallow Science or Meta-Cognitive Insights: A Few Thoughts on Reflection via Bibliometrics; Index |
Record Nr. | UNINA-9910170974603321 |
London, : Routledge, 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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Compassionate statistics [[electronic resource] ] : applied quantitative analysis for social services : with exercises and instructions in SPSS / / Vincent E. Faherty |
Autore | Faherty Vincent E (Vincent Edward), <1939-> |
Pubbl/distr/stampa | London, : SAGE, 2008 |
Descrizione fisica | 1 online resource (337 p.) |
Disciplina |
361.0015195
361.00285555 |
Soggetto topico |
Evaluation research (Social action programs) - Statistical methods
Social service - Statistical methods |
Soggetto genere / forma | Electronic books. |
ISBN |
1-4833-2954-2
1-4522-4494-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Contents; Acknowledgments; Chapter 1 - Introduction, Overview, and Nondefinitions; Chapter 2 - Levels of Data: Nominal, Ordinal, and Scale; Chapter 3 - Presenting Data in Tables; Chapter 4 - Presenting Data in Figures; Chapter 5 - The 3 Ms: Mean, Median, and Mode; Chapter 6 - Standard Deviations, Ranges, and Quartiles; Chapter 7 - Other Descriptive Statistics; Chapter 8 - Probability and Statistical Significance; Chapter 9 - Chi-Square Test of Independence; Chapter 10 - Correlation: Scattergrams; Chapter 11 - Correlation: Spearman's rho and Pearson's r
Chapter 12 - t-Test for Paired SamplesChapter 13 - t-Test for Independent Samples; Chapter 14 - One-Way Analysis of Variance (ANOVA) With Post Hoc Tests; Chapter 15 - Nonparametric Alternatives to Common Parametric Tests; Appendix A: Getting Started With SPSS; Appendix B: SPSS Data Sets; Appendix C: Outline of Common Univariate and Bivariate Statistical Procedures; Appendix D: Outline of Common Parametric and Nonparametric Inferential Tests; Appendix E: Table of Random Numbers With Instructions; Appendix F: Glossary of Terms; Index; About the Author |
Record Nr. | UNINA-9910480503103321 |
Faherty Vincent E (Vincent Edward), <1939->
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London, : SAGE, 2008 | ||
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Lo trovi qui: Univ. Federico II | ||
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Compassionate statistics [[electronic resource] ] : applied quantitative analysis for social services : with exercises and instructions in SPSS / / Vincent E. Faherty |
Autore | Faherty Vincent E (Vincent Edward), <1939-> |
Pubbl/distr/stampa | London, : SAGE, 2008 |
Descrizione fisica | 1 online resource (xv, 319 p.) : ill |
Disciplina | 361.0015195 |
Soggetto topico |
Social sciences - Statistical methods - Computer programs
Social service - Statistical methods Evaluation research (Social action programs) - Statistical methods |
ISBN |
1-4833-1694-7
1-4833-2954-2 1-4522-4494-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Contents; Acknowledgments; Chapter 1 - Introduction, Overview, and Nondefinitions; Chapter 2 - Levels of Data: Nominal, Ordinal, and Scale; Chapter 3 - Presenting Data in Tables; Chapter 4 - Presenting Data in Figures; Chapter 5 - The 3 Ms: Mean, Median, and Mode; Chapter 6 - Standard Deviations, Ranges, and Quartiles; Chapter 7 - Other Descriptive Statistics; Chapter 8 - Probability and Statistical Significance; Chapter 9 - Chi-Square Test of Independence; Chapter 10 - Correlation: Scattergrams; Chapter 11 - Correlation: Spearman's rho and Pearson's r
Chapter 12 - t-Test for Paired SamplesChapter 13 - t-Test for Independent Samples; Chapter 14 - One-Way Analysis of Variance (ANOVA) With Post Hoc Tests; Chapter 15 - Nonparametric Alternatives to Common Parametric Tests; Appendix A: Getting Started With SPSS; Appendix B: SPSS Data Sets; Appendix C: Outline of Common Univariate and Bivariate Statistical Procedures; Appendix D: Outline of Common Parametric and Nonparametric Inferential Tests; Appendix E: Table of Random Numbers With Instructions; Appendix F: Glossary of Terms; Index; About the Author |
Record Nr. | UNINA-9910791706003321 |
Faherty Vincent E (Vincent Edward), <1939->
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London, : SAGE, 2008 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data science for social good : philanthropy and social impact in a complex / / Massimo Lapucci, Ciro Cattuto, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (107 pages) |
Disciplina | 658.4033 |
Collana | SpringerBriefs in Complexity |
Soggetto topico |
Decision making - Statistical methods
Social service - Statistical methods Social service - Data processing |
ISBN | 3-030-78985-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466848003316 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Data science for social good : philanthropy and social impact in a complex / / Massimo Lapucci, Ciro Cattuto, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (107 pages) |
Disciplina | 658.4033 |
Collana | SpringerBriefs in Complexity |
Soggetto topico |
Decision making - Statistical methods
Social service - Statistical methods Social service - Data processing |
ISBN | 3-030-78985-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910502590503321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Excel 2019 for social work statistics : a guide to solving practical problems / / Thomas J. Quirk, Simone M. Cummings |
Autore | Quirk Thomas J. |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (273 pages) |
Disciplina | 519.5 |
Collana | Excel for Statistics |
Soggetto topico |
Social service - Statistical methods
Treball social Estadística matemàtica |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-68257-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.1 Mean -- 1.2 Standard Deviation -- 1.3 Standard Error of the Mean -- 1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.4.1 Using the Fill/Series/Columns Commands -- 1.4.2 Changing the Width of a Column -- 1.4.3 Centering Information in a Range of Cells -- 1.4.4 Naming a Range of Cells -- 1.4.5 Finding the Sample Size Using the =COUNT Function -- 1.4.6 Finding the Mean Score Using the =AVERAGE Function -- 1.4.7 Finding the Standard Deviation Using the =STDEV Function -- 1.4.8 Finding the Standard Error of the Mean -- 1.4.8.1 Formatting Numbers in Number Format (Two Decimal Places) -- 1.5 Saving a Spreadsheet -- 1.6 Printing a Spreadsheet -- 1.7 Formatting Numbers in Currency Format (Two Decimal Places) -- 1.8 Formatting Numbers in Number Format (Three Decimal Places) -- 1.9 End-of-Chapter Practice Problems -- References -- Chapter 2: Random Number Generator -- 2.1 Creating Frame Numbers for Generating Random Numbers -- 2.2 Creating Random Numbers in an Excel Worksheet -- 2.3 Sorting Frame Numbers into a Random Sequence -- 2.4 Printing an Excel File So That All of the Information Fits Onto One Page -- 2.5 End-of-Chapter Practice Problems -- Chapter 3: Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 3.1 Confidence Interval About the Mean -- 3.1.1 How to Estimate the Population Mean -- 3.1.2 Estimating the Lower Limit and the Upper Limit of the 95% Confidence Interval About the Mean -- 3.1.3 Estimating the Confidence Interval for the Number of Outpatient Visits to a Clinic -- 3.1.4 Where Did the Number ``1.96´´ Come From? -- 3.1.5 Finding the Value for t in the Confidence Interval Formula.
3.1.6 Using Excel´s TINV Function to Find the Confidence Interval About the Mean -- 3.1.7 Using Excel to Find the 95% Confidence Interval for a Clinic´s Outpatient Visits -- 3.2 Hypothesis Testing -- 3.2.1 Hypotheses Always Refer to the Population That You Are Studying -- 3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis -- 3.2.2.1 Determining the Null Hypothesis and the Research Hypothesis When Rating Scales Are Used -- 3.2.3 The Seven Steps for Hypothesis Testing Using the Confidence Interval About the Mean -- 3.2.3.1 STEP 1: State the Null Hypothesis and the Research Hypothesis -- 3.2.3.2 STEP 2: Select the Appropriate Statistical Test -- 3.2.3.3 STEP 3: Calculate the Formula for the Statistical Test -- 3.2.3.4 STEP 4: Draw a Picture of the Confidence Interval About the Mean, Including the Mean, the Lower Limit of the Interval,... -- 3.2.3.5 STEP 5: Decide on a Decision Rule -- 3.2.3.6 STEP 6: State the Result of Your Statistical Test -- 3.2.3.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! -- 3.3 Alternative Ways to Summarize the Result of a Hypothesis Test -- 3.3.1 Different Ways to Accept the Null Hypothesis -- 3.3.2 Different Ways to Reject the Null Hypothesis -- 3.4 End-of-Chapter Practice Problems -- References -- Chapter 4: One-Group t-Test for the Mean -- 4.1 The Seven STEPS for Hypothesis Testing Using the One-Group t-Test -- 4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis -- 4.1.2 STEP 2: Select the Appropriate Statistical Test -- 4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test -- 4.1.3.1 Finding the Absolute Value of a Number -- 4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test -- 4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E -- 4.1.6 STEP 6: State the Result of Your Statistical Test. 4.1.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! -- 4.2 One-Group t-Test for the Mean -- 4.3 Can You Use Either the 95% Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses? -- 4.4 End-of-Chapter Practice Problems -- References -- Chapter 5: Two-Group t-Test of the Difference of the Means for Independent Groups -- 5.1 The Nine STEPS for Hypothesis Testing Using the Two-Group t-Test -- 5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2 -- 5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group -- 5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test -- 5.1.4 STEP 4: Select the Appropriate Statistical Test -- 5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group t-Test -- 5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test -- 5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E -- 5.1.7.1 Find the Degrees of Freedom (df) for the Two-Group t-Test -- 5.1.8 STEP 8: State the Result of Your Statistical Test -- 5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English! -- 5.1.9.1 Writing the Conclusion of the Two-Group t-Test When You Accept the Null Hypothesis -- 5.1.9.2 Writing the Conclusion of the Two-Group t-Test When You Reject the Null Hypothesis and Accept the Research Hypothesis -- 5.2 Formula #1: Both Groups Have a Sample Size Greater Than 30 -- 5.2.1 An Example of Formula #1 for the Two-Group t-Test -- 5.3 Formula #2: One or Both Groups Have a Sample Size Less Than 30 -- 5.4 End-of-Chapter Practice Problems -- References -- Chapter 6: Correlation and Simple Linear Regression -- 6.1 What Is a ``Correlation?´´ -- 6.1.1 Understanding the Formula for Computing a Correlation. 6.1.2 Understanding the Nine Steps for Computing a Correlation, r -- 6.2 Using Excel to Compute a Correlation Between Two Variables -- 6.3 Creating a Chart and Drawing the Regression Line onto the Chart -- 6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points -- 6.3.1.1 Drawing the Regression Line Through the Data Points in the Chart -- 6.3.1.2 Moving the Chart Below the Table in the Spreadsheet -- 6.3.1.3 Making the Chart ``Longer´´ So That It Is ``Taller´´ -- 6.3.1.4 Making the Chart ``Wider´´ -- 6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page -- 6.5 Finding the Regression Equation -- 6.5.1 Installing the Data Analysis ToolPak into Excel -- 6.5.1.1 Installing the Data Analysis ToolPak into Excel 2019 -- 6.5.1.2 Installing the Data Analysis ToolPak into Excel 2016 -- 6.5.1.3 Installing the Data Analysis ToolPak into Excel 2013 -- 6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression -- 6.5.2.1 Finding the y-Intercept, a, of the Regression Line -- 6.5.2.2 Finding the Slope, b, of the Regression Line -- 6.5.3 Finding the Equation for the Regression Line -- 6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value -- 6.6 Adding the Regression Equation to the Chart -- 6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table -- 6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet -- 6.8.1 Printing Only the Table and the Chart on a Separate Page -- 6.8.2 Printing Only the Chart on a Separate Page -- 6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page -- 6.9 End-of-Chapter Practice Problems -- References -- Chapter 7: Multiple Correlation and Multiple Regression -- 7.1 Multiple Regression Equation -- 7.2 Finding the Multiple Correlation and the Multiple Regression Equation. 7.3 Using the Regression Equation to Predict FIRST-YEAR GPA -- 7.4 Using Excel to Create a Correlation Matrix in Multiple Regression -- 7.5 End-of-Chapter Practice Problems -- References -- Chapter 8: One-Way Analysis of Variance (ANOVA) -- 8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA) -- 8.2 How to Interpret the ANOVA Table Correctly -- 8.3 Using the Decision Rule for the ANOVA F-Test -- 8.4 Testing for the Difference Between Two Groups Using the ANOVA t-Test -- 8.4.1 Comparing Clinic A vs. Clinic C in Time Required to Conduct an Initial Visit Using the ANOVA t-Test -- 8.4.1.1 Finding the Degrees of Freedom for the ANOVA t-Test -- 8.4.1.2 Stating the Decision Rule for the ANOVA t-Test -- 8.4.1.3 Performing an ANOVA t-Test Using Excel Commands -- 8.5 End-of-Chapter Practice Problems -- References -- Appendices -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-Table -- Index. |
Record Nr. | UNISA-996466551603316 |
Quirk Thomas J.
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Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Excel 2019 for social work statistics : a guide to solving practical problems / / Thomas J. Quirk, Simone M. Cummings |
Autore | Quirk Thomas J. |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (273 pages) |
Disciplina | 519.5 |
Collana | Excel for Statistics |
Soggetto topico |
Social service - Statistical methods
Treball social Estadística matemàtica |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-68257-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.1 Mean -- 1.2 Standard Deviation -- 1.3 Standard Error of the Mean -- 1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.4.1 Using the Fill/Series/Columns Commands -- 1.4.2 Changing the Width of a Column -- 1.4.3 Centering Information in a Range of Cells -- 1.4.4 Naming a Range of Cells -- 1.4.5 Finding the Sample Size Using the =COUNT Function -- 1.4.6 Finding the Mean Score Using the =AVERAGE Function -- 1.4.7 Finding the Standard Deviation Using the =STDEV Function -- 1.4.8 Finding the Standard Error of the Mean -- 1.4.8.1 Formatting Numbers in Number Format (Two Decimal Places) -- 1.5 Saving a Spreadsheet -- 1.6 Printing a Spreadsheet -- 1.7 Formatting Numbers in Currency Format (Two Decimal Places) -- 1.8 Formatting Numbers in Number Format (Three Decimal Places) -- 1.9 End-of-Chapter Practice Problems -- References -- Chapter 2: Random Number Generator -- 2.1 Creating Frame Numbers for Generating Random Numbers -- 2.2 Creating Random Numbers in an Excel Worksheet -- 2.3 Sorting Frame Numbers into a Random Sequence -- 2.4 Printing an Excel File So That All of the Information Fits Onto One Page -- 2.5 End-of-Chapter Practice Problems -- Chapter 3: Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 3.1 Confidence Interval About the Mean -- 3.1.1 How to Estimate the Population Mean -- 3.1.2 Estimating the Lower Limit and the Upper Limit of the 95% Confidence Interval About the Mean -- 3.1.3 Estimating the Confidence Interval for the Number of Outpatient Visits to a Clinic -- 3.1.4 Where Did the Number ``1.96´´ Come From? -- 3.1.5 Finding the Value for t in the Confidence Interval Formula.
3.1.6 Using Excel´s TINV Function to Find the Confidence Interval About the Mean -- 3.1.7 Using Excel to Find the 95% Confidence Interval for a Clinic´s Outpatient Visits -- 3.2 Hypothesis Testing -- 3.2.1 Hypotheses Always Refer to the Population That You Are Studying -- 3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis -- 3.2.2.1 Determining the Null Hypothesis and the Research Hypothesis When Rating Scales Are Used -- 3.2.3 The Seven Steps for Hypothesis Testing Using the Confidence Interval About the Mean -- 3.2.3.1 STEP 1: State the Null Hypothesis and the Research Hypothesis -- 3.2.3.2 STEP 2: Select the Appropriate Statistical Test -- 3.2.3.3 STEP 3: Calculate the Formula for the Statistical Test -- 3.2.3.4 STEP 4: Draw a Picture of the Confidence Interval About the Mean, Including the Mean, the Lower Limit of the Interval,... -- 3.2.3.5 STEP 5: Decide on a Decision Rule -- 3.2.3.6 STEP 6: State the Result of Your Statistical Test -- 3.2.3.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! -- 3.3 Alternative Ways to Summarize the Result of a Hypothesis Test -- 3.3.1 Different Ways to Accept the Null Hypothesis -- 3.3.2 Different Ways to Reject the Null Hypothesis -- 3.4 End-of-Chapter Practice Problems -- References -- Chapter 4: One-Group t-Test for the Mean -- 4.1 The Seven STEPS for Hypothesis Testing Using the One-Group t-Test -- 4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis -- 4.1.2 STEP 2: Select the Appropriate Statistical Test -- 4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test -- 4.1.3.1 Finding the Absolute Value of a Number -- 4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test -- 4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E -- 4.1.6 STEP 6: State the Result of Your Statistical Test. 4.1.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! -- 4.2 One-Group t-Test for the Mean -- 4.3 Can You Use Either the 95% Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses? -- 4.4 End-of-Chapter Practice Problems -- References -- Chapter 5: Two-Group t-Test of the Difference of the Means for Independent Groups -- 5.1 The Nine STEPS for Hypothesis Testing Using the Two-Group t-Test -- 5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2 -- 5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group -- 5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test -- 5.1.4 STEP 4: Select the Appropriate Statistical Test -- 5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group t-Test -- 5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test -- 5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E -- 5.1.7.1 Find the Degrees of Freedom (df) for the Two-Group t-Test -- 5.1.8 STEP 8: State the Result of Your Statistical Test -- 5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English! -- 5.1.9.1 Writing the Conclusion of the Two-Group t-Test When You Accept the Null Hypothesis -- 5.1.9.2 Writing the Conclusion of the Two-Group t-Test When You Reject the Null Hypothesis and Accept the Research Hypothesis -- 5.2 Formula #1: Both Groups Have a Sample Size Greater Than 30 -- 5.2.1 An Example of Formula #1 for the Two-Group t-Test -- 5.3 Formula #2: One or Both Groups Have a Sample Size Less Than 30 -- 5.4 End-of-Chapter Practice Problems -- References -- Chapter 6: Correlation and Simple Linear Regression -- 6.1 What Is a ``Correlation?´´ -- 6.1.1 Understanding the Formula for Computing a Correlation. 6.1.2 Understanding the Nine Steps for Computing a Correlation, r -- 6.2 Using Excel to Compute a Correlation Between Two Variables -- 6.3 Creating a Chart and Drawing the Regression Line onto the Chart -- 6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points -- 6.3.1.1 Drawing the Regression Line Through the Data Points in the Chart -- 6.3.1.2 Moving the Chart Below the Table in the Spreadsheet -- 6.3.1.3 Making the Chart ``Longer´´ So That It Is ``Taller´´ -- 6.3.1.4 Making the Chart ``Wider´´ -- 6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page -- 6.5 Finding the Regression Equation -- 6.5.1 Installing the Data Analysis ToolPak into Excel -- 6.5.1.1 Installing the Data Analysis ToolPak into Excel 2019 -- 6.5.1.2 Installing the Data Analysis ToolPak into Excel 2016 -- 6.5.1.3 Installing the Data Analysis ToolPak into Excel 2013 -- 6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression -- 6.5.2.1 Finding the y-Intercept, a, of the Regression Line -- 6.5.2.2 Finding the Slope, b, of the Regression Line -- 6.5.3 Finding the Equation for the Regression Line -- 6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value -- 6.6 Adding the Regression Equation to the Chart -- 6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table -- 6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet -- 6.8.1 Printing Only the Table and the Chart on a Separate Page -- 6.8.2 Printing Only the Chart on a Separate Page -- 6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page -- 6.9 End-of-Chapter Practice Problems -- References -- Chapter 7: Multiple Correlation and Multiple Regression -- 7.1 Multiple Regression Equation -- 7.2 Finding the Multiple Correlation and the Multiple Regression Equation. 7.3 Using the Regression Equation to Predict FIRST-YEAR GPA -- 7.4 Using Excel to Create a Correlation Matrix in Multiple Regression -- 7.5 End-of-Chapter Practice Problems -- References -- Chapter 8: One-Way Analysis of Variance (ANOVA) -- 8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA) -- 8.2 How to Interpret the ANOVA Table Correctly -- 8.3 Using the Decision Rule for the ANOVA F-Test -- 8.4 Testing for the Difference Between Two Groups Using the ANOVA t-Test -- 8.4.1 Comparing Clinic A vs. Clinic C in Time Required to Conduct an Initial Visit Using the ANOVA t-Test -- 8.4.1.1 Finding the Degrees of Freedom for the ANOVA t-Test -- 8.4.1.2 Stating the Decision Rule for the ANOVA t-Test -- 8.4.1.3 Performing an ANOVA t-Test Using Excel Commands -- 8.5 End-of-Chapter Practice Problems -- References -- Appendices -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-Table -- Index. |
Record Nr. | UNINA-9910483050803321 |
Quirk Thomas J.
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Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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