X~N(μ,σ^2)
The mean μ is always in the middle
The graph is symmetrical about the middle
The larger the value of σ^2 the more flat the curve
The area between the curve and the x-axis is the probability
P(X=a)=0
https://www.mathsisfun.com/data/standard-normal-distribution.html
Let Z be a Continuous Random Variable that is Normally Distributed with μ=0 and unit variance (σ^2), then Z is the Standard Normal∴ Z~N(0,1)Use Table 7 in Stats Booklet
Slide 3
Non-Standard Normal
Z=X-μ/σ ⇒ Z~N(0,1)NB: Divide by Standard Deviation