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Statistics Vocab

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Term
Definition
Statistics   the sciences of collecting, analyzing, drawing conclusions from data  
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Descriptive statistics   the methods of organizing and summarizing data  
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inferential statistics   involves making generalizations from a sample to a population (hypothesis)  
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Population   the entire collection of individual objects about which info is desired  
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Sample   subset of the population selected for study in some prescribed manner  
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Variable   any characteristic who's value may change from one individual to another  
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Data   observations on single variable or simultaneously on 2 or more variables  
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Percentile    
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Quartile    
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Types of Variables    
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Categorical/Qualitative   identifies basics differentiating characteristics of the population  
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Numerical/Quantitative   observations or measurements taken on numerical values  
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Discrete   listable set of values. Ex. Usually counts of items  
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Continuous   data can take on any values in the domain of the variable, usually measurements  
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Univariate   data that describes a single (un)characteristic of the population  
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Bivariate   data the describes 2(bi)characteristics of the population  
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Multivariate   data that describes more than 2 characteristics of the pop.  
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Graphs for categorical data:    
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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  
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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  
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Graphs for numerical data:    
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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  
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Shapes:    
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Symmetrical   vertically cut in middle, bell shaped curve  
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Uniform   every class has equal frequency  
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Skewed   one side is longer than the other. Longer tail left or right)  
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Bimodal   2 classes have same freq & separate to others  
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How to describe a numerical graph:    
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Center   where middle of data is. 3 types: mean, medican, mode  
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Spread   how spread out data is. 3 types: range, standard deviation, IQR  
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Shape   overall shape of distribution symmetrical, uniform, skewed, bimodal  
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Unusual occurances   outliers: value that lies away from rest of data (gaps, clusters)  
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In context   all answers written in correct form. Full sentences & correct vocab  
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Created by: palmerag
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