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rule of data analysis
make a picture to reveal trends and patterns
distribution
name of categories/frequently each occur
frequency
is counting
relative frequency
percentage or proportion
bar graphs
leave spaces for easy comparison, stays true to area principle, and ALWAYS CATEGORICAL
pie charts
must be in 100%, if 3D can be bad for perspective
association
probability or percentage NEVER counts
segmented bar graph
displays information similar to a pie chart, forms of bars instead of circles
stem plots
starts out with a base number then expands to other numbers within base numbers
dot plots
plot with dots, small data sets 50 or less
histogram
similar to a bar graph, intervals simplify the graph(bin width), NUMERICAL DATA ONLY
bid width
changing the length of bars that communicate different things
center
locate: mode, mean or median
unusual features
gaps + or more possible outliers
shape
unimodal, bimodal, symmetrical, skewed or uniform
spread
minimum/maximum, IQR, or standard deviation
be specific
use numerical value and context when possible
describe unimodal
approximately symmetrical or roughly symmetrical
bimodal
there are 2 modes in the graphun
uniform
flat line
skewed to the right
there are outliers on the right
skewed to the left
there are outliers on the left
standard deviation
average distance from the mean
balancing point
mean
shifting
+ or - to a constant data to every value and doesn’t change spreads
scaling
mult/divide every value by a constant, measure the position/center/spread by a multiplied constant
standard with z-scores
find the percentile a number is in