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

• aMachine generated contents note: Introduction to a variety of useful statistical ideas and techniques
• Introduction
• Great Normal Curve in the Sky
• Finding Probabilities of Completion Times or Satisfaction Levels, or Anything Else, on a Normal Curve
• Vignette: how long does it take to hook up DSL Internet service?
• Finding Completion Times or Satisfaction Levels, or Anything Else, on a Normal Curve
• Probability Curve for the Mean of Many Results
• Central Limit Theorem
• Confidence Intervals
• Logic and Meaning of a Confidence Interval
• Finding a Confidence Interval Using Excel
• Finding a Confidence Interval Using SPSS
• Hypothesis Testing
• P-Value
• Summary
• Addendum: Activating "Data Analysis"
• References
• Comparing two designs (or anything else!) using independent sample T-tests
• Introduction
• Case Study: Comparing Designs at Mademoiselle La La
• Comparing Two Means
• Independent Samples
• Mademoiselle La La Redux
• Excel
• SPSS

• g2.6. But What If We Conclude that the Means Aren't Different?
• Final Outcome at Mademoiselle La La
• Addendum: Confidence Intervals
• Summary
• Exercise
• Reference
• Comparing two designs (or anything else!) using paired sample T-tests
• Introduction
• Vignette: How Fast Can You Post a Job at Behemoth.com?
• Introduction to Paired Samples
• Example of Paired (Two-Sample) T-test
• Excel
• SPSS
• Behemoth.com Revisited
• Addendum: A Mini-Discussion Why the Independent and Paired Tests Need to be Different
• Summary
• Exercise
• References
• Pass or fail? Binomial-related hypothesis testing and confidence intervals using independent samples
• Introduction
• Case Study: Is Our Expensive New Search Engine at Behemoth.com Better Than What We Already Have?
• Hypothesis Testing Using the Chi-Square Test of Independence or Fisher's Exact Test
• Excel
• SPSS
• Meanwhile, Back at Behemoth.com

• Binomial Confidence Intervals and the Adjusted Wald Method
• Summary
• Addendum 1: How to Run the Chi-Square Test for Different Sample Sizes
• Addendum 2: Comparing More than Two Treatments
• Excel
• SPSS
• Appendix: Confidence Intervals for all Possible Sample-Proportion Outcomes from N = 1 to N = 15, in Table A.1
• Exercises
• References
• Pass or fail? Binomial-related hypothesis testing and confidence intervals using paired samples
• Introduction
• Case Study: Can I Register for a Course at Backboard.com?
• Hypothesis Testing Using the Cochran Q Test
• Excel
• SPSS
• Meanwhile, Back at Backboard
• Summary
• Exercise
• References
• Comparing more than two means: one factor ANOVA with independent samples. Multiple comparison testing with the Newman-Keuls test
• Introduction
• Case Study: Sophisticated for Whom?
• Independent Samples: One-Factor ANOVA
• Analyses
• Excel
• SPSS
• Multiple Comparison Testing

• Illustration of the S-N-K Test
• Application of the S-N-K to this Result
• Discussion of the Result
• Suppose That Your Only Software Available Is Excel
• Meanwhile, Back at Mademoiselle La La
• Summary
• Exercises
• References
• Comparing more than two means: one factor ANOVA with a within-subject design
• Introduction
• Case Study: Comparing Multiple Ease-of-Use Ratings at Mademoiselle La La
• Comparing Several Means with a Within-Subjects Design
• Key
• Hypotheses for Comparing Several Means
• SPSS Analysis
• Newman-Keuls Analysis
• Excel Analysis
• Mademoiselle La La: Let's Fix the Checkout ASAP!
• Summary
• Exercise
• Comparing more than two means: two factor ANOVA with independent samples; the important role of interaction
• Introduction
• Case Study: Comparing Age and Gender at Mademoiselle La La
• Interaction
• Interaction
• Definition 1
• Interaction
• Definition 2
• Working the Example in SPSS
• Meanwhile, Back at Mademoiselle La La
• Summary
• Exercise

• Can you relate? Correlation and simple linear regression
• Introduction
• Case Study: Do Recruiters Really Care about Boolean at Behemoth.com?
• Correlation Coefficient
• Excel
• SPSS
• CorrelationApplicationtoBehemoth.com
• Linear Regression
• Excel
• SPSS
• Linear Regression Analysis of Behemoth.com Data
• Meanwhile, Back at Behemoth
• Summary
• Addendum: A Quick Discussion of Some Assumptions Implicit in Interpreting the Results
• Exercise
• Can you relate in multiple ways? Multiple linear regression and stepwise regression
• Introduction
• Case Study: Determining the Ideal Search Engine at Behemoth.com
• Multiple Regression
• Excel
• SPSS
• Confidence Interval for the Prediction
• BacktoBehemoth.com
• Stepwise Regression
• How Does Stepwise Regression Work?
• Stepwise Regression Analysis of the Behemoth.com Data
• Meanwhile, Back at Behemoth.com

• Summary
• Exercise
• Will anybody buy? Logistic regression
• Introduction
• Case Study: Will Anybody Buy at the Charleston Globe?
• Logistic Regression
• Logistic Regression Using SPSS
• Computing a Predicted Probability
• Some Additional Useful Output to Request from SPSS
• Hosmer and Lemeshow goodness-of-fit test
• Finding the predicted probability of a "1" for each data point
• CharlestonGlobe.com Survey Data and its Analysis
• Stepwise Regression Analysis of the CharlestonGlobe.com Data
• Due Diligence Comparing Stepwise Results To Revised Binary Regression Results
• Implications of the Survey-Data Analysis Results
• Back to CharlestonGlobe.com
• Results Are In: Showtime At CharlestonGlobe.com
• Summary
• Exercise