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# 8 CCSSM STATISTICS

### 8th CCSSM STATISTICS/PROBABILITY - COMMON CORE - COMPLETE

TermDefinition
bivariate data Data for two variables (usually two types of related data)
scatter plot A graph of plotted points that show the relationship between two sets of data.
linear model describe a continuous response variable as a function of one or more predictor variables. They can help you understand and predict the behavior of complex systems or analyze experimental, financial, and biological data
clustering When data seems to be "gathered" around a particular value. For example: for the values 2, 6, 7, 8, 8.5, 10, 15, there is a cluster around the value 8
linear association relationships can be expressed in a graphical format where the variable and the constant are connected via a straight line or in a mathematical format where the independent variable is multiplied by the slope coefficient, added by a constant, which determ
non-linear association a relationship which is not linear
outlier A value that "lies outside" (is much smaller or larger than) most of the other values in a set of data.
positive association a relationship between two variables in which both variables move in tandem; exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.
negative association a relationship between two variables in which one variable increases as the other decreases, and vice versa.
categorical data Data that is collected; when numbers are collected in groups or categories.
two-way table organizes data about two categorical variables. Values of the row variable label the rows that run across the table, and values of the column variable label the columns that run down the table.
relative frequency the number of times that the event occurs during experimental trials, divided by the total number of trials conducted.
Created by: artisteacher