Other

  • This site gives a definition and an example of normal distributions. Topics include assessing normality and normal probability plots.
    View Resource
    0
    No votes yet
  • This site gives a definition and an example of categorical data. Topics include two-way tables, bar graphs, and segmented bar graphs.
    View Resource
    0
    No votes yet

  • This site gives an explanation, a definition and an example of linear regression. Topics include least-squares, residuals, extrapolation, outliers, and influential observations.

    View Resource
    0
    No votes yet

  • This site gives an explanation, a definition and an example of correlation. Topics include correlation coefficient and rŒ_.

    View Resource
    0
    No votes yet
  • This site gives an explanation, a definition and an example of inference in linear regression. Topics include confidence intervals for intercept and slope, significance tests, mean response, and prediction intervals.
    View Resource
    0
    No votes yet
  • This site gives an explanation, a definition and an example of multiple linear regression. Topics include confidence intervals, tests of significance, and squared multiple correlation.
    View Resource
    0
    No votes yet
  • This site gives an explanation, a definition and an example of ANOVA for regression. Topics include analysis of variance calculations for simple and multiple regression, and F-statistics.
    View Resource
    0
    No votes yet
  • This site gives an explanation, a definition of and an example using experimental design. Topics include experimentation, control, randomization, and replication.
    View Resource
    0
    No votes yet
  • This site gives an explanation, a definition and an example of sampling in statistical inference. Topics include parameters, statistics, sampling distributions, bias, and variability.
    View Resource
    0
    No votes yet
  • This site gives an explanation, a definition and an example of probability models. Topics include components of probability models and the basic rules of probability.
    View Resource
    0
    No votes yet

Pages

register