CIMA P1 Syllabus D. Dealing With Risk And Uncertainty - Normal Distribution - Notes 5 / 5
Normal Distribution
- is probability (%) of something happening (eg. achieving a profit) based on standard deviation and average (mean).
This formula is given in the exam:
Z = (x - µ) / Ϭ
where:
Z is a Z-score = probability % - from the mean to variable X (use Normal distribution table);
μ is the mean (average) = the Most popular figure
σ is the standard deviation = how far away from the average you are
Normal Distribution Table
This is given in the exam
Illustration 1
Average profit is $100
Std deviation $10
What is the probability of profit being more than $105?
Step by step
Step 1. Calculate Z-score
Z = (x - µ) / Ϭ
Z = (105 - 100) / 10
Z = 5 / 10 = 0.5Step 2. Find the % in the Table
Find Z value of 0.5 in the first column = 0.1915 or 19.15%
Step 3. Calculate the probability of profit being more than $105.
Less than $105 = 50% + 19.15% = 69.15%
Greater than $105 = 50% - 19.15% = 30.85%
Illustration 2
Average (Expected value) profit from a project is $200,000
Standard deviation is $100,000.
If the project loses more than $50,000 the company will be in financial difficulties.
What is the probability of the project losing more than $50,000?
Step 1. Calculate Z-score
Z = (x - µ) / Ϭ
Z = (-50,000 - 200,000) / 100,000
Z = 2.5Step 2. Find the % in the Table
Find Z value of 2.5 in the first column = 0.4938 or 49.38%
Step 3. Calculate the probability of the project losing MORE than $50,000 is:
Less than $50,000 = 50% + 49.38% = 99.38%
Greater than $50,000 = 50% - 49.38% = 0.62%
So we have a 99.38% confidence that losses won't fall lower than 50k
Another way of saying this is the value at risk is 50,000 when we have a 99.38% confidence level