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discrete
counting
continous
measuring
determining intervals for histograms
range/class size
finding percentile
number of values/ total number of values x 100
countinous graphs
histograms
ogives
discrete graphs
bar charts
dot plots
stemplots
mean
add up all values in data set and divide by total number of values
used with symmetric and non-skewed
use standard deviation
median
order smallest to largest and find middle value
with odd number of values, median will be the middle number
with even numbers, median will be the mean of two middle value
use IQR
used with skewed distributions
range
maximum- minimum
standard deviation
only use as measure or spread when using mean
always +
0 when all values are the same
q1
25%
q2/median
50%
q3
75%
Things to have when describing quantitive data
shape
outliers
center (mean or median)
spread (IQR or standard deviation)
unimodal
one peak
bimodal
two peaks
uniform
data has the same values across
symmetric
if split in half it shows a mirror image