Topic 4 Flashcards

Continuous Probability Distribution

1
Q

can take any value within a range but cannot be counted like whole numbers. Instead, we measure it using any tool or scale

A

continuous random variable

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2
Q

functional notation of the continuous probability
distribution

A

Probability density function or density function

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3
Q

formed by a continuous random variable having the bell-shaped distribution and symmetric

A

normal distribution or Gaussian distribution

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4
Q

is a continuous random variable having the bell-shaped distribution

A

normal random variable Z

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5
Q

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.

A

normal curve

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6
Q

normal distribution with mean 0 and variance 1

A

standard normal distribution

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7
Q

way to describe the time between random events that happen at a constant rate

A

exponential distribution

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