Chapter 2 Flashcards
table listing each category of data and the number of occurrences for each category - used for qualitative data
frequency distribution
proportion (percent) of observations within a category (frequency divided by sum of all frequencies)
relative frequency
bar graph whose bars are drawn in decreasing order of frequency / relative frequency
Pareto chart
bar graph where bars touch each other, height of each bar represents the frequency / relative frequency of each class
histogram
graph that shows each class horizontally in increasing order and places a dot above them for each observation
dot plot
highest frequency occurs in the middle and frequencies tail off to the left and right of the middle (symmetric)
bell-shaped distribution
frequency of each value is evenly spread across the graph - every value is same
uniform distribution
graph in which the digits to the left of the rightmost data value (“stem”) are separated from the rightmost digit (“leaf”) on a vertical column - leaves are listed together, corresponding to stem
stem-and-leaf plot
graph that uses points, connected by line segments, to represent frequencies for classes - plotting a point above each class midpoint on the horizontal axis, with height equal to its frequency
frequency polygon
the sum of consecutive lower class limits divided by 2
midpoint
displays aggregate frequency of category - total number of observations less than or equal to the upper class limit
cumulative frequency distribution
displays the proportion (percentage) of observations less than or equal to the upper class limit
cumulative relative frequency distribution
graph in which x-coordinates are upper class limits and y-coordinates are cumulative frequencies / cumulative relative frequencies of the class, connected by line segments
ogive
graph that plots the time in which a variable is measured on the horizontal axis and the corresponding value of the variable on the vertical axis, connected by line segments
time-series plot
graphs that use pictures to represent data - often misleading
pictograms