Topic 4 Flashcards
Continuous Probability Distribution
can take any value within a range but cannot be counted like whole numbers. Instead, we measure it using any tool or scale
continuous random variable
functional notation of the continuous probability
distribution
Probability density function or density function
formed by a continuous random variable having the bell-shaped distribution and symmetric
normal distribution or Gaussian distribution
is a continuous random variable having the bell-shaped distribution
normal random variable Z
name of the normal distribution graph that is characterized by a symmetrical bell shaped. The mean 𝜇 is the center of the curve having its spread described by the standard deviation 𝜎.
normal curve
normal distribution with mean 0 and variance 1
standard normal distribution
way to describe the time between random events that happen at a constant rate
exponential distribution