Non-parametric statistics

dc.contributor.authorNdunguru Philibert, C.
dc.date.accessioned2026-03-13T09:06:59Z
dc.date.issued2009
dc.description.abstractThe book is structured as follows: Chapter one introduces the basic concepts of a statistical inference problem. Chapter two focuses on inference techniques that are appropriate for nominal data. Chapters three and four dwell on inference techniques using ordinal data; with chapter three focusing on sample median test techniques and chapter four on rank-sum techniques. Both techniques typically rely on data that are capable of being ranked. Chapter five is exclusively presenting material on testing randomness of a set of sample observations, which is a universal premise for all inference methods. The technique adopted in this book is based on Wald-Wolfowitz one-sample runs test procedure. The final chapter dwells on correlational inference techniques that are appropriate for nominal and/or ordinal data. The author has streamlined the material to be reader-friendly. The solved examples, exercises, and review questions that are drawn from real and contextualized business, economics, management, and social life situations enable readers to understand the topical concepts covered. The optional exercises on parametric techniques enable readers to reflect on the link between parametric and non-parametric statistical techniques as applied in social science research. Chapters two through six each contain a section on SPSS tutorial, in which the use of SPSS software in solving non- Parametric inference problems is demonstrated. In this way, readers get to know and/or exercise their skills in the application of the statistical package.
dc.description.sponsorshipMzumbe University.
dc.identifier.citationAPA
dc.identifier.isbn9987617824
dc.identifier.urihttps://scholar.mzumbe.ac.tz/handle/123456789/1947
dc.language.isoen_US
dc.publisherMzumbe University
dc.subjectSocial research inference
dc.subjectmeasurement scale
dc.subjectQualitative research
dc.subjectStatistical hypothesis
dc.subjectNon-parametric techniques
dc.subjectInference techniques
dc.subjectNominal data inference techniques
dc.subjectBinomial test technique
dc.subjectOrdinal data inference techniques
dc.subjectThe sign test
dc.subjectMedian test
dc.subjectRank sum tests
dc.subjectInference methods correlation
dc.titleNon-parametric statistics
dc.title.alternativeInference methods for qualitative research
dc.typeBook

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Ndunguru._.P.C._.(2009)._.Non-parametricstatistics._.pdf
Size:
49.11 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: