Displaying+Quantitative+Data

Key Concepts

 * Data**: Systematically recorded information, whether labels or numbers, together with its context
 * Distribution:** A set of numbers showing either the observed or theoretical frequency of occurance (i.e. the number of times a value occurs in a data set).
 * Shape:** The general shape or relationship shown by a graph, chart, histogram, etc., can refer to the symmetry of a distribution, whether it is unimodal, bimodal, or uniform, or whether it is skewed.
 * Mode:** A measure of center, in that it's the data value which occurs the most (here can be more than one mode).
 * Unimodal:** When a graph has one bar that is taller than the rest, it is unimodal**.**
 * Uniform:** A distribution that's roughly flat
 * Symmetric:** When the both side of the distrubution appear balanced around the median. Symmetrical data sets are desirable because they are easier to interpret and are easier to compare to other data sets.
 * Tails:** On a skewed distribution, the tail refers to the smaller values that appear to trail off; these values are normally found on the opposite side of the mode.
 * Skewed:** When the graph is bigger towards one end of the numbers. It can be skewed to the right or left.
 * Outliers:** points or numbers that are completely out of the graph and not close or related to the graph. These can be important though since they could stand for something that happened during the trial or an error.

**Graphs**

 * Dot-plot:** A dot for each case against a single axis
 * Stem-and-leaf display:** shows quantitative data values in a way that sketches the distribution of the data.
 * Timeplot:**