Comparing Data Sets
Comparing Distributions
Comparing distributions
How do I compare two data sets?
You may be given two sets of data that relate to a context
To compare data sets, you need to
compare their averages
Mode, median or mean
compare their spreads
Range
Interquartile range
How do I write a conclusion when comparing two data sets?
When comparing averages and spreads, you need to
compare numbers
describe what this means in real life
Copy the exact wording from the question in your answer
There should be four parts to your conclusion
For example:
"The median score of class A (45) is higher than the median score of class B (32)."
"This means class A performed better than class B in the test."
"The range of class A (5) is lower than the range of class B (12)."
"This means the scores in class A were less spread out than scores in class B."
Other good phrases for smaller ranges include:
"scores are closer together"
"scores are more consistent"
"there is less variation in the scores"
What restrictions are there when drawing conclusions?
The data set may be too small to be truly representative
Measuring the heights of only 5 pupils in a whole school is not enough to talk about averages and spreads
The data set may be biased
Measuring the heights of just the older year groups in a school will make the average appear too high
The conclusions might be influenced by who is presenting them
A politician might choose to compare a different type of average if it helps to strengthen their argument!
What else could I be asked?
You may need to choose which, out of mode, median and mean, to compare
Check for extreme values (outliers) in the data
Avoid using the mean as it is affected by extreme values
You may need to think from the point of view of another person
A teacher might not want a large spread of marks
It might show that they haven't taught the topic very well!
An examiner might want a large spread of marks
It makes it clearer when assigning grade boundaries, A, B, C, D, E, ...