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# Stats Ch. 1, 2, 3

Context Five w's and how
Data Recorded values with context, raw (age, weight)
Data Table Arrangement of values/data
Cases Individual about whom we have data
Population (of interest) Cases we want to know about
Sample Cases we examine to seek out information about the population of interest
Statistic Calculation of data
Variable Characteristics recorded about each individual in a sample
Units How a variable has been measured
Categorical/Qualitative Variable Places an individual into a group, has a label
Quantitative Variable Measured variable with units, answers about the quantity of what is measured
Frequency Counts for each category
Relative Frequency PERCENT of total observations for each category
Distribution Describes the possible values of a variable and the relative frequency of each value
Categorical Data Condition Data are counts/percents in CATEGORIES before using displays
Individual Cell Represents a count for a specific group of individuals in two variables
Marginal Distribution Describes the distribution of either the row totals or column totals out of the "total-total"
Conditional Distribution Describes the distribution of A row/column out of its own total
Independence Two variables are independent when the distribution of one variable is the same for all categories of the other variable
Created by: archergirl