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Standardisation & Probability - Coggle Diagram
Standardisation & Probability
Why we need to standardize?
Two variables of different units cannot be plot on the same timeline for comparison. They need to be transformed or re-scaled to common rerference.
How to standardize?
Transform (X) values to Z-score
Ensure it numerical value
ensure both are the same unit
What is common reference to Z-score?
Mean =0 and standard deviation = 1
Normalisation/Transformation Z SCORE
Same characteristics as Normal Distribution Curve
If both X variables has common reference then it can be used as comparison
Feature scaling= x-min(x)/ max(x)-min(x)
Minimum = 0 and Max=1
Formula(Z-Score)
Xi is individual X values. X bar is mean of X. SD is standard deviation of X
can be renamed as Z-(variable name) for each X values variable
Probability
Probability Line. 0 to 1.
0 means not gonna happen.
1 means its certainly gonna happen
Trial/Experiment. It has random outcome. More trials means close to expected and less trials means way off than expected
Formula
Complement Rule= 1- P(outcome)
used for not likely.
P(S)= P(A) + P(B). S is sample, A & B are probabilitiy
Cross-Tabulation Table.
known as contingency table
Conditional Probability & Total Probability for denominator
keyword: among
