Chapter 1: Exploring data Flashcards
Individuals
Individuals are the objects described by a set of data
Variable
an attribute that describes a person, place, thing, or idea
Categorial Variable
categorical variables take on values that are names or labels
Quantitative Variable
quantitative variables are numerical
Continuous
continuous distribution is one in which data can take on any value within a specified range
Univariate Data
a study that looks at only one variable
Bivariate Data
a study that examines the relationship between two variables
Population
population refers to the total set of observations that can be made
Sample
a sample refers to a set of observations drawn from a population
Census
a study that obtains data from every member of a population
Distribution
The distribution of a statistical data set (or a population) is a listing or function showing all the possible values
Inference
inference is the process of using data analysis to deduce properties of an underlying distribution of probability
Frequency Table
when a table shows frequency counts for a categorical variable, it is called a frequency table
Relative Frequency
Relative frequency = Subgroup count / Total count
Table
tables showing the values of the cumulative distribution functions, probability functions, or probability
Roundoff Error
the difference between an approximation of a number used in computation and its exact (correct) value
Pie Chart
a circular statistical graphic, which is divided into slices to illustrate numerical proportion
Bar Graph
a chart that plots data using rectangular bars or columns
Two-way Table
a statistical table that shows the observed number or frequency for two variables
Marginal Distribution
marginal distribution is the percentages out of totals