Six Sigma and Beyond: Statistics and Probability, Volume III

D

Data

analysis of, 3

coding of, 16 “24

collection of, 17 “18

definition of, 3

distribution of, 28 “29

entry of, 18

examination of, 137

interval, 24, 27, 125

missing, 19

nominal, 23, 25 “26

plots of, see Plots

quantification of, 17, 23

ratio, 24, 27

seasonality of, 173 “174

De Morgan's laws of complements, 198

Degrees of freedom (df)

of cross-tabulation, 65

for McNemar test, 115

in structural models, 160

for T distribution, 58

in variance calculation, 33

Dependent variable, 35, 92 “93

Determinant, 291 “293

Deviation of means, 193

Diagonal matrix, 286 “287

Difference set, 199

Differential equation, 256

Dimensional scaling, 156 “157

Discordant cases, 78

Discrete cumulative distribution, 240 “243

Discrete probability distribution, 238 “239, 267 “274; see also Probability density function (PDF)

Discriminant analysis, 105 “106, 129 “136, 152 “153

Disjointed set, 199, 203

Dispersion, 193

Distribution

bimodal, 30

binomial, see Binomial distribution

CDF, see Cumulative distribution function (CDF)

continuous, 247

of correlations , 87

of data, 28 “30

discrete cumulative, 240 “243

discrete probability, 238 “239, 267 “274

F statistic, 137, 152

hypergeometric, 272 “276

of means, 45 “50, 55, 62

negative skew, 29, 44, 139

normal, 41 “50, 253 “262

Poisson, 267 “268, 279 “282

positive skew, 29, 44, 139

of responses, 37

sampling, 38, 94

SND, 257 “262, 266 “267

T, 57 “58, 137

uniform, 250 “253

Double blind studies, 13

Duncan's multiple range test, 72

Durbin-Watson statistic, 179