Interpret the key results for Probability Density Function (PDF)

The probability density function helps identify regions of higher and lower probabilities for values of a random variable.

For a continuous distribution, Minitab calculates the probability density values.
Probability Density
x
f(x)
Key Results: x and f(x) for a continuous distribution

In these results, the probability density function is given for a normal distribution with mean = 0 and standard deviation = 1. For example, the function has a value of 0.00432 when the x-value is -3 or 3. The function has a value of 0.398942 when the x-value is 0.

For a discrete distribution, Minitab calculates the probability values.
Probability Density
x
P(X = x)
Key Results: x and P(X = x) for a discrete distribution

In these results, the probability density values are given for a binomial distribution with 4 trials and event probability of 0.10. For example, the probability that one event occurs in four trials is 0.291600, and the probability that four events occur in four trials is 0.000100.

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