Synopsis
This book is design to College students and other Professionals who would like to explore and enhance knowledge on descriptive and non-parametric statistics. The book introduces various techniques in manual calculation of data in descriptive and non-parametric statistics such as frequency distribution, relative frequency, cumulative frequency and percent, measures of central tendency (Mean, Median, Mode), measures of position (Quartile, Decile, Percentile), measures of dispersion/ variability (Range, Interquartile Range, Quartile Deviation, Average Deviation, Standard Deviation), measures of skewness, kurtosis, and the normal distribution of data. Discussion and concrete illustration in data analysis using the alternative non-parametric analysis of variance, one-way classification and two-way classification designs. Test of significant difference of correlated and non-correlated samples employing non-parametric statistics were also included. The equations and formula used were easy to understand and may enriched the knowledge of students and young researcher on data analysis techniques introduced in this book.
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Exploration of Descriptive Statistical Equations
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LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 6200504369
ISBN 13: 9786200504364
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is design to College students and other Professionals who would like to explore and enhance knowledge on descriptive and non-parametric statistics. The book introduces various techniques in manual calculation of data in descriptive and non-parametric statistics such as frequency distribution, relative frequency, cumulative frequency and percent, measures of central tendency (Mean, Median, Mode), measures of position (Quartile, Decile, Percentile), measures of dispersion/ variability (Range, Interquartile Range, Quartile Deviation, Average Deviation, Standard Deviation), measures of skewness, kurtosis, and the normal distribution of data. Discussion and concrete illustration in data analysis using the alternative non-parametric analysis of variance, one-way classification and two-way classification designs. Test of significant difference of correlated and non-correlated samples employing non-parametric statistics were also included. The equations and formula used were easy to understand and may enriched the knowledge of students and young researcher on data analysis techniques introduced in this book. 144 pp. Englisch. Seller Inventory # 9786200504364
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Exploration of Descriptive Statistical Equations
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Corpuz OnofreOnofre S. Corpuz, PhD in Forestry, PhD in Rural Development, Vice President for Research Development and Extension at CFCST Husna T. Lumapenet, EdD in Educational Management, Director of the IPR and Press Center of CFCST. Seller Inventory # 385892622
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Exploration of Descriptive Statistical Equations
Published by
LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 6200504369
ISBN 13: 9786200504364
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is design to College students and other Professionals who would like to explore and enhance knowledge on descriptive and non-parametric statistics. The book introduces various techniques in manual calculation of data in descriptive and non-parametric statistics such as frequency distribution, relative frequency, cumulative frequency and percent, measures of central tendency (Mean, Median, Mode), measures of position (Quartile, Decile, Percentile), measures of dispersion/ variability (Range, Interquartile Range, Quartile Deviation, Average Deviation, Standard Deviation), measures of skewness, kurtosis, and the normal distribution of data. Discussion and concrete illustration in data analysis using the alternative non-parametric analysis of variance, one-way classification and two-way classification designs. Test of significant difference of correlated and non-correlated samples employing non-parametric statistics were also included. The equations and formula used were easy to understand and may enriched the knowledge of students and young researcher on data analysis techniques introduced in this book.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Seller Inventory # 9786200504364
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Exploration of Descriptive Statistical Equations | Mastering Statistical Equations
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ISBN 10: 6200504369
ISBN 13: 9786200504364
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Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Exploration of Descriptive Statistical Equations | Mastering Statistical Equations | Onofre Corpuz (u. a.) | Taschenbuch | 144 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200504364 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 118470354
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Exploration of Descriptive Statistical Equations : Mastering Statistical Equations
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200504369
ISBN 13: 9786200504364
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is design to College students and other Professionals who would like to explore and enhance knowledge on descriptive and non-parametric statistics. The book introduces various techniques in manual calculation of data in descriptive and non-parametric statistics such as frequency distribution, relative frequency, cumulative frequency and percent, measures of central tendency (Mean, Median, Mode), measures of position (Quartile, Decile, Percentile), measures of dispersion/ variability (Range, Interquartile Range, Quartile Deviation, Average Deviation, Standard Deviation), measures of skewness, kurtosis, and the normal distribution of data. Discussion and concrete illustration in data analysis using the alternative non-parametric analysis of variance, one-way classification and two-way classification designs. Test of significant difference of correlated and non-correlated samples employing non-parametric statistics were also included. The equations and formula used were easy to understand and may enriched the knowledge of students and young researcher on data analysis techniques introduced in this book. Seller Inventory # 9786200504364
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