Stem & Leaf, Split Stem & Leaf Plots and Back-to-Back Stem & Leaf plots
A stem & leaf plot
A split stem & leaf plot
A back-to-back stem & leaf plot
A back-to-back split stem & leaf plot
I don't know
Map your data on the left, and sort it on the right
See how skewed your data set is
Compare the distribution of two data sets
Split your data set into two similar sizes
Compare the upper values with the lower values
I don't know
Larger values
A common stem
Smaller values
A normal distribution
A neutral distribution
I don't know
A stem & leaf plot
A split stem & leaf plot
A back-to-back stem & leaf plot
A back-to-back split stem & leaf plot
I don't know
A stem & leaf plot
A split stem & leaf plot
A back-to-back stem & leaf plot
A back-to-back split stem & leaf plot
I don't know
A stem & leaf plot
A split stem & leaf plot
A back-to-back stem & leaf plot
A back-to-back split stem & leaf plot
I don't know
A stem & leaf plot
A split stem & leaf plot
A back-to-back stem & leaf plot
A back-to-back split stem & leaf plot
I don't know
A stem & leaf plot
A split stem & leaf plot
A back-to-back stem & leaf plot
A back-to-back split stem & leaf plot
I don't know
A stem & leaf plot
A split stem & leaf plot
A back-to-back stem & leaf plot
A back-to-back split stem & leaf plot
I don't know
None, its just an ordinary stem and leaf plot
Two splits
Three splits
Five splits
I don't know
When there are too many leaves to see a shape
When the shape is negatively skewed
When we suspect there are outliers
When the shape is positively skewed
When here are too few numbers on a branch
I don't know
Less than 12
More than 80
More than 200
Between 10 & 15
More than 5 but less than 50
I don't know
Map your data on the left, and sort it on the right
See how skewed your data set is
Compare two data sets
Split your data set into two similar sizes
Compare the upper values with the lower values
I don't know
Compress the data
Simplify the data
Reveal features that were not easily detected
Hide features that are easily detected
Reduce the number of errors
I don't know
There are too many intervals in a stem
We multiply the interquartile range by 1.5
They are left out of the range
There are too few intervals on the stem
The interquartile range is large
I don't know
Counting the total number of leaves and dividing by the stem
Counting the number of stems and dividing the leaves
Turning the stem counter-clockwise so it is horizontal
Mirroring the stem in a clockwise direction
Finding the range and the IQR
Create a histogram instead
Use a dot plot instead
Split the stem into intervals of two
Split the stem into intervals of 10
Create a back-to-back stem & leaf plot
Three intervals is enough for 40 pieces of data, leave it how it is.
Ordering data
Finding the median
Finding the modal class
Finding the max & min
Finding the mean
Finding the standard deviation
Counting z-scores
Ordering data
Separating categorical data
Finding the mean
Finding the standard deviation
Counting z-scores
Zero is never considered an outlier
No, there must be two gaps to make it an outlier.
Probably, but I'd need to check
Yes, because zero is always considered to be an outlier
No because outliers are always on a positive skew