A continuous normal distribution with mean µ and standard deviation σ if its probability density function is
X varies from - infinity to + infinity
µ Varies from - infinity to + infinity
σ > 0
Normal distribution is the limiting case of binomial distribution if n -> infinity and p, q are not very small. Normal Distribution is also the limiting case of Poisson distribution with λ -> infinity. µ and σ are called parameters of normal distribution. The variable X with mean µ and Variance σ2 following normal distribution is denoted by X ~ N (µ, σ2)
Here the Normal Distribution table is generated using the above formula. In order to calculate the normal distribution you have to find the value of Z. The Z can be calculated by using the below formula.
Based on the Z score value from the formula you can use this below Normal Distribution table.