Using Normalcdf andInvnorm
Normalcdf and Invnorm are two functions commonly used in statistics and probability calculations
Normalcdf and Invnorm are two functions commonly used in statistics and probability calculations.
Normalcdf is used to find the probability of a certain range of values in a normal distribution. It takes three arguments: lower bound, upper bound, and mean with standard deviation (μ, σ). The function returns the probability of the values falling within the given range.
For example, let’s say we have a normal distribution with a mean of 10 and a standard deviation of 2. If we want to find the probability of the values falling between 8 and 12, we can use the Normalcdf function as follows:
Normalcdf(8, 12, 10, 2)
The output of this function will give us the probability of the values falling between 8 and 12 in the given normal distribution.
Invnorm, on the other hand, is used to find the corresponding value in a normal distribution for a given probability. It takes two arguments: probability (p) and mean with standard deviation (μ, σ). The function returns the corresponding value (x) for the given probability.
For example, let’s say we have a normal distribution with a mean of 50 and a standard deviation of 10. If we want to find the value that corresponds to a probability of 0.9, we can use the Invnorm function as follows:
Invnorm(0.9, 50, 10)
The output of this function will give us the value (x) that corresponds to a probability of 0.9 in the given normal distribution.
Both Normalcdf and Invnorm functions are useful in various statistical and probability calculations. They provide a quick and efficient way to find probabilities and corresponding values in normal distributions.
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