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.20 1-sample t-test 1-Sided Test 1.5 1.5 Sigma Shift 2-sample t-test A/B Testing Addition Rule Adjusted Wald Alpha Alternative Hypothesis Altman Z-Score ANOVA Area between Bell Curve bimodal binomial Binomial Probability Bonferroni correction Bootstrap Calculator Central Limit Theorem CHI 2005 Chi-Square Choose collinearity Combination Commentary Completion Rate Confidence Intervals Confidence Level Continuous Data Control Chart Correlation Counterbalance Critical Value Degrees of Freedom Discount Usability Discrete Data DPMO exact interval example Excel Finite Population Formative Evaluation Geometric Mean Graph Hypothesis Test Interaction Plot Interval IQ Score Jakob Nielsen lambda Log Transformation Lurking Variables Margin of Error mean Median Mid-range Monte-Carlo Multiplication Rule Mutual Exclusive Newton-Raphson Nomal Distribution Non-Normal Data Non-Parametric Normal Approximation Normal Curve Normal Distribution Normal Rule Normal Table Normally Distributed NORMSDIST Null Hypothesis One-Sided Area One-Tailed Area Ordinal p-chart p-value Parameter Percent Score Percentile Percentile Rank Power Probability Problem Discovery Process Sigma Proportion Publications QFD Qualitative Studies Quality Level Quartile Regression Analysis Sample Size Sequence Effect Sigma Level Single Usability Metric Six Sigma skew skewness Small Sample Standard Deviation Standard Error of the Mean Standard Normal Curve Standard Score Standardize statistic Statistics Student-t T score t-distribution t-statistic t-test Task Completion Task Success Task Time Tasks test statistic TINV Transformation Trimmed Mean Two-Proportion Test Two-Tailed Area Type I Error UI Problems Unequal Sample Size Units of Measure Unusual Event Usability Score Card Users Needed Variance x-bar Z Long Term Z Short Term Z-Score Z-Statistic Z-upper Z-value