Applying and Interpreting Statistics [electronic resource] : A Comprehensive Guide /

In the period since the first edition was published, I have appreciated the corre­ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been invited to contribute to course restructuring and development based on the ap­ proach to learning and applying statistics that underlies this book. In addition, I have taken account of suggestions and criticisms, and I hope that this new edition will address all major concerns. The range of readily accessible statistical methods has greatly expanded over the past decade, particularly with the growing accessibility of comprehensive statisti­ cal computing packages. The approach adopted in this book has anticipated the changes by its emphasis on building understanding and skills in method selection and interpretation of findings. There has been a reduction in computational for­ mulas to reflect the fact that basic statistical analyses are now almost universally undertaken on computers. This has allowed the inclusion of a more general cover­ age of unifying methodology, particularly Generalized linear methodology, which permits users to more accurately match their requirements to statistical models and methods. A major addition is a chapter on the commonly used multivariate methods.

Saved in:
Bibliographic Details
Main Authors: McPherson, Glen. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: New York, NY : Springer New York : Imprint: Springer, 2001
Subjects:Mathematics., Probabilities., Statistics., Probability Theory and Stochastic Processes., Statistical Theory and Methods., Statistics for Business/Economics/Mathematical Finance/Insurance., Statistics for Life Sciences, Medicine, Health Sciences., Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.,
Online Access:http://dx.doi.org/10.1007/978-1-4757-3435-5
Tags: Add Tag
No Tags, Be the first to tag this record!
id KOHA-OAI-TEST:211851
record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Mathematics.
Probabilities.
Statistics.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Mathematics.
Probabilities.
Statistics.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
spellingShingle Mathematics.
Probabilities.
Statistics.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Mathematics.
Probabilities.
Statistics.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
McPherson, Glen. author.
SpringerLink (Online service)
Applying and Interpreting Statistics [electronic resource] : A Comprehensive Guide /
description In the period since the first edition was published, I have appreciated the corre­ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been invited to contribute to course restructuring and development based on the ap­ proach to learning and applying statistics that underlies this book. In addition, I have taken account of suggestions and criticisms, and I hope that this new edition will address all major concerns. The range of readily accessible statistical methods has greatly expanded over the past decade, particularly with the growing accessibility of comprehensive statisti­ cal computing packages. The approach adopted in this book has anticipated the changes by its emphasis on building understanding and skills in method selection and interpretation of findings. There has been a reduction in computational for­ mulas to reflect the fact that basic statistical analyses are now almost universally undertaken on computers. This has allowed the inclusion of a more general cover­ age of unifying methodology, particularly Generalized linear methodology, which permits users to more accurately match their requirements to statistical models and methods. A major addition is a chapter on the commonly used multivariate methods.
format Texto
topic_facet Mathematics.
Probabilities.
Statistics.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
author McPherson, Glen. author.
SpringerLink (Online service)
author_facet McPherson, Glen. author.
SpringerLink (Online service)
author_sort McPherson, Glen. author.
title Applying and Interpreting Statistics [electronic resource] : A Comprehensive Guide /
title_short Applying and Interpreting Statistics [electronic resource] : A Comprehensive Guide /
title_full Applying and Interpreting Statistics [electronic resource] : A Comprehensive Guide /
title_fullStr Applying and Interpreting Statistics [electronic resource] : A Comprehensive Guide /
title_full_unstemmed Applying and Interpreting Statistics [electronic resource] : A Comprehensive Guide /
title_sort applying and interpreting statistics [electronic resource] : a comprehensive guide /
publisher New York, NY : Springer New York : Imprint: Springer,
publishDate 2001
url http://dx.doi.org/10.1007/978-1-4757-3435-5
work_keys_str_mv AT mcphersonglenauthor applyingandinterpretingstatisticselectronicresourceacomprehensiveguide
AT springerlinkonlineservice applyingandinterpretingstatisticselectronicresourceacomprehensiveguide
_version_ 1756268988606709760
spelling KOHA-OAI-TEST:2118512018-07-30T23:44:34ZApplying and Interpreting Statistics [electronic resource] : A Comprehensive Guide / McPherson, Glen. author. SpringerLink (Online service) textNew York, NY : Springer New York : Imprint: Springer,2001.engIn the period since the first edition was published, I have appreciated the corre­ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been invited to contribute to course restructuring and development based on the ap­ proach to learning and applying statistics that underlies this book. In addition, I have taken account of suggestions and criticisms, and I hope that this new edition will address all major concerns. The range of readily accessible statistical methods has greatly expanded over the past decade, particularly with the growing accessibility of comprehensive statisti­ cal computing packages. The approach adopted in this book has anticipated the changes by its emphasis on building understanding and skills in method selection and interpretation of findings. There has been a reduction in computational for­ mulas to reflect the fact that basic statistical analyses are now almost universally undertaken on computers. This has allowed the inclusion of a more general cover­ age of unifying methodology, particularly Generalized linear methodology, which permits users to more accurately match their requirements to statistical models and methods. A major addition is a chapter on the commonly used multivariate methods.1 The Importance of Statistics in an Information-Based World -- 2 Data: The Factual Information -- 3 Statistical Models: The Experimenter’s View -- 4 Comparing Model and Data -- 5 Probability: A Fundamental Tool of Statistics -- 6 Some Widely Used Statistical Models -- 7 Some Important Statistics and Their Sampling Distributions -- 8 Statistical Analysis: The Statistician’s View -- 9 Examining Proportions and Success Rates -- 10 Model and Data Checking -- 11 Questions About the “Average” Value -- 12 Comparing Two Groups, Treatments, or Processes -- 13 Comparative Studies, Surveys, and Designed Experiments -- 14 Comparing More Than Two Treatments or Groups -- 15 Comparing Mean Response When There Are Three or More Treatments -- 16 Comparing Patterns of Response: Frequency Tables -- 17 Studying Relations Between Variables -- 18 Prediction and Estimation: The Role of Explanatory Variables -- 19 Questions About Variability -- 20 Cause and Effect: Statistical Perspectives -- 21 Studying Changes in Response over Time -- A Tables for Some Common Probability Distributions -- A.1 The Normal Distribution -- A.3 The Chi-Squared Distribution -- References.In the period since the first edition was published, I have appreciated the corre­ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been invited to contribute to course restructuring and development based on the ap­ proach to learning and applying statistics that underlies this book. In addition, I have taken account of suggestions and criticisms, and I hope that this new edition will address all major concerns. The range of readily accessible statistical methods has greatly expanded over the past decade, particularly with the growing accessibility of comprehensive statisti­ cal computing packages. The approach adopted in this book has anticipated the changes by its emphasis on building understanding and skills in method selection and interpretation of findings. There has been a reduction in computational for­ mulas to reflect the fact that basic statistical analyses are now almost universally undertaken on computers. This has allowed the inclusion of a more general cover­ age of unifying methodology, particularly Generalized linear methodology, which permits users to more accurately match their requirements to statistical models and methods. A major addition is a chapter on the commonly used multivariate methods.Mathematics.Probabilities.Statistics.Mathematics.Probability Theory and Stochastic Processes.Statistical Theory and Methods.Statistics for Business/Economics/Mathematical Finance/Insurance.Statistics for Life Sciences, Medicine, Health Sciences.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Springer eBookshttp://dx.doi.org/10.1007/978-1-4757-3435-5URN:ISBN:9781475734355