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

D

• Data and data tables

  • best practices, 20

  • categorical. See Categorical data and variables

  • collection attributes, 18

  • for comparisons, 421–423

  • cross-sectional, 18

  • examples

    • customer focus, 19

    • medical advice, 15–17

  • exercises, 22–25

  • generating process, 559–561

  • iid, 238

  • numerical. See Numerical data and variables

  • overview and definitions, 10–12

  • pitfalls, 20

  • probabilities and

    • conditional, 180–184

    • in general, 157–161

  • recoding and aggregation, 14–17

  • software hints, 20–21

  • sources of, 18–19

  • time series. See Time series

• Data Ferret, as data source, 18

• Day trading, 202. See also Random variables

• Debt

  • credit cards. See Credit cards

  • subprime mortgages, 646–650, 651–653

• Degrees of freedom (df)

  • for chi-squared, 460–462

  • defined, 369, 383

  • residual,