Six Sigma and Beyond: Statistics and Probability, Volume III
T
T distribution, 57 “58
T test
definition of, 121 “125, 148 “150
distribution requirement, 137
vs. F test, 97
interpretation of, 58 “59
vs. Mann-Whitney U test, 117
vs. MANOVA, 151 “152
vs. multiple comparison procedures, 70
in regression, 96
variance estimate, 58
Tables
contingency, 113
cross-classification, 34 “35, 73 “74
cross-tabulation, 34 “35, 73 “74
frequency, 21, 34
Tau-b, 79
Tau-c, 79
Tests
binomial, 111 “112
Box's M test, 142
Duncan's multiple range, 72
F statistic, 152
Fisher exact probability, 113
Friedman, 120 “121
Kolmogorov-Smirnov, 115 “116, 139
Kruskal-Wallis, 119 “120
Levene, 141 “142
Mann-Whitney U, 116 “117
McNemar, 114 “115
measures of association, see Measures of association
one-tailed, 53, 87
Pearson's r, 79 “80, 84 “88, 126 “127
power of, 64
of proportion, 111 “112
Q, 115
rho, 127 “128
Scheffe, 72, 125
Shapiro-Wilks, 139
sign, 117 “118
Student-Newman-Keul's, 72
T, see T test
two-tailed, see Two-tailed test
Wilcoxon signed-ranks, 118 “119
Threshold, 190 “192
Tied cases, 78 “79, 120
Time-based dependence, plot of, 71
Tolerance, 148
Total probability, 206 “207
Trailing tail interval, 249
Transformations, 102 “103, 144 “146, 267
Transition probability, 310 “314
Transpose, 286
Treatment, 149, 153
Tucker-Lewis index, 163
Tukey, 72
Two-tailed test
chi-square, 112
Cochran Q test, 115
for correlation coefficients, 87
definition of, 53
McNemar test, 115
vs. one-tailed test, 60 “61
Type 1 error, 58, 64, 149 “150, 152
Type 2 error, 58
Typology construction, see Cluster analysis