Statistics for Business: Decision Making and Analysis, 3rd Edition

R

• Random residual variation condition, 510

• Random variables. See also Expected values

  • association between. See under Association

  • Bernoulli, 252–253

  • best practices, 215

  • binomial. See Binomial model and random variables

  • comparing, 214–215

  • continuous, 273

  • for counts, 252–253

  • defined, 203

  • dependence between, 230, 232–236

  • examples

    • computer shipments, 209–210

    • financial risk, 298–305

  • exercises, 217–223

  • graphs of, 204

  • iid, 236–238, 252–253

  • independent. See Independent random variables

  • as models, 204–205

  • normal. See Normal model and random variables

  • pitfalls, 216

  • Poisson, 259–261

  • populations and, 320

  • properties of, 205–210

  • sums of, 230–232

• Randomization

  • in experiments, 422

  • main discussion, 315–317

  • in paired comparisons, 437

• Randomness, testing ...