If a random variable X has a Poisson distribution with parameter l, then the probability that X takes the value x is
Pr(X = x) = lx*e-l/x! for x = 0, 1, 2, 3, ...
Chat with our AI personalities
A probability density function assigns a probability value for each point in the domain of the random variable. The probability distribution assigns the same probability to subsets of that domain.
what is density curve
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
yes, h=1/sigma(standard deviation)
Yes- the highest probability value is the mode. Let me clarify this answer: For a probability mass function for a discrete variables, the mode is the value with the highest probability as shown on the y axis. For a probability density function for continuous variables, the mode is the value with the highest probability density as shown on the y-axis.