Dimensionality of Different Data Sets.pptx

Dimensionality of Different Data Sets

1. Dimensionality of Data Sets Univariate: Measurement made on one variable per subject Bivariate: Measurement made on two variables per subject Multivariate: Measurement made on many variables per subject

2. Numerical Summaries of Data Central Tendency measures . They are computed to gi v e a “ c e n te r ” ar o un d w h i c h th e m e asu r e m e n ts i n the data are distributed. Variation or Variability measures . They describe “ d ata sp r e a d ” o r h ow far aw ay th e m e asu r e m e n ts a r e from the center. Relative Standing measures . They describe the relative position of specific measurements in the data.

3. Describing data with tables and graphs (quantitative or categorical variables) Numerical descriptions of center, variability, position (quantitative variables) Bivariate descriptions (In practice, most studies have several variables)