Chapter 1 Flashcards
individual
objects described by a set of data`
variable
any characteristic
categorial variable
puts an individual into one of several groups
quantitative variable
takes numerical values to find an average
some exceptions ie zip code
distribution
shows what values a variable takes and how often it occurs
frequency table
displays counts (frequencies) of individuals in a category
relative frequency table
shows percentages (relative frequencies) of individuals in a category
roundoff error
rounded percents only come close to 100%
only points out the effects of rounding off results
marginal distribution
a distribution of values for one variable
conditional distribution
separate distributions for each variable
association
exists between two variables if knowing the value of one helps predict the other
symmetric distribution
left and right are mirror images
skewed left/right
a tail to the left/right side
unimodal
single peak
bimodal
multimodal
two peaks
three or more peaks