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# Statistics Vocab

TermDefinition
Statistics the sciences of collecting, analyzing, drawing conclusions from data
Descriptive statistics the methods of organizing and summarizing data
inferential statistics involves making generalizations from a sample to a population (hypothesis)
Population the entire collection of individual objects about which info is desired
Sample subset of the population selected for study in some prescribed manner
Variable any characteristic who's value may change from one individual to another
Data observations on single variable or simultaneously on 2 or more variables
Percentile
Quartile
Types of Variables
Categorical/Qualitative identifies basics differentiating characteristics of the population
Numerical/Quantitative observations or measurements taken on numerical values
Discrete listable set of values. Ex. Usually counts of items
Continuous data can take on any values in the domain of the variable, usually measurements
Univariate data that describes a single (un)characteristic of the population
Bivariate data the describes 2(bi)characteristics of the population
Multivariate data that describes more than 2 characteristics of the pop.
Graphs for categorical data:
Bar Used for categorical data. - Not touch - horizontal axis - comment on which occurred the most/least often - bivariate data sets can have double/segmented bar graph
Pie graph categorical data - to make one proportion x 360 deg. - using protractor, mark off ea part - desribe, comment on which occurred the most/least often
Graphs for numerical data:
Dotplot - used w/ numerical data (discrete/continuous) - put dots (or A's) on number line - can make comparitive dotplots by using the same axis for mult. groups
Shapes:
Symmetrical vertically cut in middle, bell shaped curve
Uniform every class has equal frequency
Skewed one side is longer than the other. Longer tail left or right)
Bimodal 2 classes have same freq & separate to others
How to describe a numerical graph:
Center where middle of data is. 3 types: mean, medican, mode
Spread how spread out data is. 3 types: range, standard deviation, IQR
Shape overall shape of distribution symmetrical, uniform, skewed, bimodal
Unusual occurances outliers: value that lies away from rest of data (gaps, clusters)
In context all answers written in correct form. Full sentences & correct vocab