Representing and Describing Data Flashcards
univariate data
data with only 1 variable
qualitative data
categorical data
non-numerical data
quantitative data
numerical data
classifications of quantitative data
discrete data
continuous data
discrete data
data that can be counted
able to take only specific values
continuous data
data that can be measured
able to take any values within range
mode
value that occurs most frequently in set of data
median
value that lies in middle when set of data is arranged by size
mean
average
sum of all values divided by number of values in set
outlier
extreme value in set of data that can distort results of statistical processes
able to drastically increase or decrease mean
range
simplest measurement of dispersion of set of data
found by subtracting smallest value from largest value
standard deviation (σx)
measure of amount of variation or dispersion of set of values
variance (σx2)
measure of how far set of values is spread from mean
equivalent to square of standard deviation
interquartile range (IQR)
difference between upper quartile and lower quartile
upper quartile (Q3)
data point at 75th percentile