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210123 ||| eng |
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|a 9780128006788
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|a 0128006781
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|a 0128006358
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|a QA76.9.D343
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|a Fritz, Mike
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|a Improving the user experience through practical data analytics
|b gain meaningful insight and increase your bottom line
|c Mike Fritz, Paul D. Berger
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| 260 |
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|a Waltham, MA
|b Morgan Kaufmann
|c 2015
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| 300 |
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|a 1 volume
|b illustrations
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|a 4.2 case study: is our expensive new search engine at behemoth.com better than what we already have?4.3 hypothesis testing using the chi-square test of independence or fisher's exact test; 4.4 meanwhile, back at behemoth.com; 4.5 binomial confidence intervals and the adjusted wald method; 4.6 summary; 4.7 addendum 1: how to run the chi-square test for different sample sizes; 4.8 addendum 2: comparing more than two treatments; 4.9 appendix: confidence intervals for all possible sample-proportion outcomes from n = 1 to n = 15, in table a.1; 4.10 exercises; references
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|a Front Cover; Advance Praise for Improving the User Experience through Practical Data Analytics; Improving the User Experience through Practical Data Analytics; Copyright; Dedication; Contents; Preface; WHY WE WROTE THE BOOK; HOW THIS BOOK IS SPECIAL; THE SOFTWARE WE USE; WHAT YOU NEED TO ALREADY KNOW; ORGANIZATION AND COVERAGE; EXERCISES AND SUPPLEMENTARY MATERIAL; About the Authors; MIKE FRITZ; PAUL D. BERGER; ABOUT THE ILLUSTRATOR: RICK PINCHERA; Acknowledgments; Chapter 1 -- Introduction to a variety of useful statistical ideas and techniques; 1.1 INTRODUCTION.
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|a Includes bibliographical references and index
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|a Chapter 5 -- Pass or fail? Binomial-related hypothesis testing and confidence intervals using paired samples5.1 INTRODUCTION; 5.3 HYPOTHESIS TESTING USING THE COCHRAN Q TEST; 5.4 MEANWHILE, BACK AT BACKBOARD ... ; 5.5 SUMMARY; 5.6 EXERCISE; REFERENCES; Chapter 6 -- Comparing more than two means: one factor ANOVA with independent samples. Multiple comparison testing with the Newman-Keuls test; 6.1 INTRODUCTION; 6.2 CASE STUDY: SOPHISTICATED FOR WHOM?; 6.3 INDEPENDENT SAMPLES: ONE-FACTOR ANOVA; 6.4 THE ANALYSES; 6.5 MULTIPLE COMPARISON TESTING; 6.6 ILLUSTRATION OF THE S-N-K TEST.
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|a 1.2 THE GREAT NORMAL CURVE IN THE SKY1.3 CONFIDENCE INTERVALS; 1.4 HYPOTHESIS TESTING; 1.5 SUMMARY; 1.6 ADDENDUM: ACTIVATING "DATA ANALYSIS"; REFERENCES; Chapter 2 -- Comparing two designs (or anything else!) using independent sample T-tests; 2.1 INTRODUCTION; 2.2 CASE STUDY: COMPARING DESIGNS AT MADEMOISELLE LA LA; 2.3 COMPARING TWO MEANS; 2.4 INDEPENDENT SAMPLES; 2.5 MADEMOISELLE LA LA REDUX; 2.6 BUT WHAT IF WE CONCLUDE THAT THE MEANS AREN'T DIFFERENT?; 2.7 FINAL OUTCOME AT MADEMOISELLE LA LA; 2.8 ADDENDUM: CONFIDENCE INTERVALS; 2.9 SUMMARY; 2.10 EXERCISE; REFERENCE.
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|a Chapter 3 -- Comparing two designs (or anything else!) using paired sample T-tests3.1 INTRODUCTION; 3.2 VIGNETTE: HOW FAST CAN YOU POST A JOB AT BEHEMOTH.COM?; 3.3 INTRODUCTION TO PAIRED SAMPLES; 3.4 EXAMPLE OF PAIRED (TWO-SAMPLE) T-TEST; 3.5 BEHEMOTH.COM REVISITED; 3.6 ADDENDUM: A MINI-DISCUSSION WHY THE INDEPENDENT AND PAIRED TESTS NEED TO BE DIFFERENT; 3.7 SUMMARY; 3.8 EXERCISE; REFERENCES; Chapter 4 -- Pass or fail? Binomial-related hypothesis testing and confidence intervals using independent samples; 4.1 INTRODUCTION.
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|a Exploration de données (Informatique)
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|a Quantitative research / fast
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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| 653 |
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|a Data mining / fast
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| 653 |
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|a Quantitative research / http://id.loc.gov/authorities/subjects/sh2007000909
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| 653 |
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|a Recherche quantitative
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| 700 |
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|a Berger, Paul D.
|e author
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 9780128006351
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|u https://learning.oreilly.com/library/view/~/9780128006351/?ar
|x Verlag
|3 Volltext
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|a 001.42
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|a 006.3/12
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| 520 |
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|a Improving the User Experience through Practical Data Analytics is your must-have resource for making UX design decisions based on data, rather than hunches. Authors Fritz and Berger help the UX professional recognize and understand the enormous potential of the ever-increasing user data that is often accumulated as a by-product of routine UX tasks, such as conducting usability tests, launching surveys, or reviewing clickstream information. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. You'll be
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