Normal Distribution CDF
Returns the probability that a normally distributed variable lies between the lower and upper bounds.
If μ and σ are not specified, μ = 0 and σ = 1 are used.
To calculate P(X ≤ upperBound), set lowerBound = −∞.
If the bounds are lists, a list of corresponding probabilities is returned.
Syntax
normCdf(Lower limit, Upper limit)normCdf(Lower limit, Upper limit, Expected value)normCdf(Lower limit, Upper limit, Expected value, Standard deviation)Examples
Normal distribution
To calculate probabilities for a normal distribution, you can first define the probability density function using normPdf 5: Probability > 5: Distributions > 1: Normal Pdf..., and compute the result with an integral. The same result can be obtained more directly using the guided normCdf function 5: Probability > 5: Distributions > 2: Normal Cdf....
Equations related to the normal distribution
The guided normCdf command, found in the menu 5: Probability > 5: Distributions > 2: Normal Cdf..., allows you to calculate probabilities. Combined with solve, you can find missing values such as upper bound, mean, or standard deviation. Some equations require an initial guess to find a solution. Alternatively, you can use the density function and an integral.