國立虎尾科技大學 |

Illustrating Statistical Procedures: Finding Meaning in Quantitative Data

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Illustrating Statistical Procedures: Finding Meaning in Quantitative Data / by Ray W. Cooksey.
Author:	Cooksey, Ray W.
Description:	XXV, 737 p. 228 illus., 75 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-981-15-2537-7
ISBN:	9789811525377

Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
Cooksey, Ray W.

Illustrating Statistical Procedures: Finding Meaning in Quantitative Data [electronic resource] /by Ray W. Cooksey. - 3rd ed. 2020. - XXV, 737 p. 228 illus., 75 illus. in color.online resource.

Introduction -- Chapter 1: The logic and language of statistical analysis Reference -- Chapter 2: Measurement issues in quantitative research -- Chapter 3: Computer programs for analysing quantitative data -- Chapter 4: Example research context aand quantitative data set -- Chapter 5: Descriptive statistics for summarising data -- Chapter 6: Correlational statistics for characterising relationships -- Chapter 7: Inferential statistics for hypothesis testing relationships -- Chapter 8: Other commonly-used statistical procedures relationships -- Chapter 9: Specialised statistical procedures -- Appendices -- Index.

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

ISBN: 9789811525377

Standard No.: 10.1007/978-981-15-2537-7doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
LDR:02986nam a22003975i 4500 001 1020650
003 DE-He213
005 20200701142616.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811525377 $9 978-981-15-2537-7
024 7 $a 10.1007/978-981-15-2537-7 $2 doi
035 $a 978-981-15-2537-7
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Cooksey, Ray W. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1316175
245 1 0 $a Illustrating Statistical Procedures: Finding Meaning in Quantitative Data $h [electronic resource] / $c by Ray W. Cooksey.
250 $a 3rd ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XXV, 737 p. 228 illus., 75 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Introduction -- Chapter 1: The logic and language of statistical analysis Reference -- Chapter 2: Measurement issues in quantitative research -- Chapter 3: Computer programs for analysing quantitative data -- Chapter 4: Example research context aand quantitative data set -- Chapter 5: Descriptive statistics for summarising data -- Chapter 6: Correlational statistics for characterising relationships -- Chapter 7: Inferential statistics for hypothesis testing relationships -- Chapter 8: Other commonly-used statistical procedures relationships -- Chapter 9: Specialised statistical procedures -- Appendices -- Index.
520 $a This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.
650 0 $a Statistics . $3 1253516
650 0 $a Big data. $3 981821
650 0 $a Data mining. $3 528622
650 0 $a Management information systems. $3 561123
650 0 $a Database management. $3 557799
650 1 4 $a Statistical Theory and Methods. $3 671396
650 2 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Software Management. $3 1069200
650 2 4 $a Database Management. $3 669820
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811525360
776 0 8 $i Printed edition: $z 9789811525384
776 0 8 $i Printed edition: $z 9789811525391
856 4 0 $u https://doi.org/10.1007/978-981-15-2537-7
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)