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First 3- The 3 CORE ideas of the unit. The next 5 are 5 questions from that unit
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Unit 1- SOCS
What does SOCS stand for?
Write out a SOCS paragraph
SOCS stands for: Shape, Outliers, Center and Spread
Shape refers to the general shape of the distribution: Bimodal, Roughly Symmetric, Skewed left/right(the side its leaning away from)
Outliers refer to deviations from the general trend/cluster of data. Can be found using the 1.5 IQR rule
Center refers to the measure of the center of the distribution. Use mean for a asymmetric distribution and median for a symmetric distribution, however you can probably use both
Spread refers to how spread out the data is: range, IQR and Standard deviation
MAKE SURE YOU INCLUDE CONTEXT
Example SOCS:
The distribution of the number of sweet shops in cities across America is Bimodal and approximately symmetric. It has a mean/median of 30 and has a range of 80. There are potential outliers at 90 and 10
Unit 1- Comparison of Distributions
What kind of language should you compare distributions with
Can you ever get set distributions from a histogram?
When comparing distributions, it is incredibly important to provide context as to what you’re comparing.(has to be mentioned only once)
Additionally, you must address SOCS for both of the distributions whilst you’re comparing them
You can not get set numbers or statistics from a histogram since it only gives you ranges where the datalives
Unit 1- IQR
What is IQR and what is it a measure of?
What is the 1.5 IQR rule and how do you calculate it
IQR is the Interquartile Range found by subtracting the Q1 from Q3
The 1.5 IQR rule is a concrete rule for identifying outliers.
Basically 1.5*IQR+Q3 is the upper ceiling(anything above that is an outlier) while Q1-1.5IQR is the lower limit
Unit 2-
Unit 2-
Unit 2-