Definitions

__**Statistics**__-consists of techniques and tools that aid in the collection, organization, summarization, and interpretation of a collection of information referred to as //data;// it tells a story (p.1, Dawn Cooper) __**Measurement-**__ is a variable that takes on numeric values and could possibly use partial units. Ex. 5 1/2 years old, Ex: Height, weight __**Categorical Variable-**__ a variable that takes on categorical designations.Ex. eye color, major, age. (p. 13, Sarah Ross) __**Catergorical Graphs:**__ Real, Pictograph, bar graph, circle graph, stacked bar graph( Bailey) __**Outcome:**__ This helps you determine what variable you are dealing with (bailey) __**READ:**__ No calculations, Read the information An example " What % of the 5th grade sampled score in the profieciency level in science in 1997?" (Bailey)
 * __Picture Graph:__** when real objects are removed and pictures were used to represent the objects and it uses, drawings or other pictoral representations of the objects under investigations.
 * __Real Graph__**- A graph constructed using real objects to display the data. (p.14, Chelsey Jones)
 * __Count-__** is a variable that takes on numerical variables and could not be answered in partial units. Ex. How many kids do you have? (Katie Minor)
 * __Frequency__:** How much of the data, but frequency is not part of the data (Bailey)
 * __DERIVE:__** Calculation, An example " How many of the 5th grade sample scored in the proficency level in science for 1999?" ( Bailey)
 * __INTERRET:__** Predictions, organize the information/ Read beyond the data, summarizing the data, An example " Is there any pattern exhitbited in the 5th grade sample proficincy level science pattern from 1997-1999?" (Bailey)
 * __DISTRIBUTION:__** How is the spread of the data (Bailey)
 * __SPREAD OUT__**: Data distributed unevenly at 1 end to the outher (Bailey)
 * __RANGE__**: Which tells us the difference between the lowest and highest points in our information, this tells us the SPREAD (Bailey)
 * __SPREAD__**: This is a description of how data is distributed which = the range ( variability) (Bailey)
 * __CLUMPS__**= clustering ( Bailey)
 * __HOLES__**= gaps ( bailey)
 * __BUMPS__**= mod ( Bailey)
 * __DISTRIBUTION__**= spread ( Bailey)
 * __SYMETRIC__**: the graph is equal on both sides, so if you were to cut the graph in half it would be the same on both sides (Bailey)
 * __Measures of center: (Bailey)__**
 * 1) **Mode: The outcome which occurs most often**
 * 2) **Median: The outcome value in the middle, when in order from least to greatest.. this is our balancing point..( Bailey)**
 * 3) **Mean: A fairshare of the outcomes, calculated by taking the sum of the outcomes divided by the number of outcomes** (Jeannie) The mean can also be thought of as a balance point in a data set or as an "equalizer". (Dr B)
 * __Outlier__**: a point on a box plot that is 1 1/2 box/interquartile range from the box. (KatieM)
 * __Deviation__**: how far values are from the mean.
 * __Standard Deviation:__** the square root of the total sum of all the distances from the data points to the mean.
 * __Mean Deviation__**: add absolute deviations together and get mean
 * __Variance__**: add squared deviations together and get mean.
 * __Random:__** A random outcome is when we know what could happen but it is uncertain as to what we'll get. IN the long run we can make predictions about the outcomes.
 * __Trial:__** doing one "run" of the experiment sequence
 * __Event:__** outcome of interest (can be a single outcome or a collection of outcomes)