Area under the curve - probability

In summary, the area underneath the normal distribution (or any distribution) represents probability because it is defined by the integral of the density function, which represents the area under the curve, and the cumulative distribution function, which gives the probability of a random variable being less than a certain value. This is why the integral of the density function over the entire range is equal to 1, representing the total probability.
  • #1
michonamona
122
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It's something that I know but I've never been able to figure out 'why?' Why is does the area underneath the normal distribution (or any distribution) represent probability?

Thank you.

M
 
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  • #2
michonamona said:
It's something that I know but I've never been able to figure out 'why?' Why is does the area underneath the normal distribution (or any distribution) represent probability?

Thank you.

M

The short answer to your question is the definition:

A nonnegative function f(x) is said to be the density function for the continuous random variable X if for all real numbers a < b:

[tex]P(a\le X \le b) = \int_a^b f(x)\, dx[/tex]

From calculus we know the integral on the right represents the area under f(x) between a and b. Since the cumulative distribution function is given by

[tex]P(X \le x) =\int_{-\infty}^{x} f(t)\, dt[/tex]

it follows that

[tex]\int_{-\infty}^{\infty} f(x)\, dx = 1[/tex]

Putting these together shows why the area under the curve represents probability. Does that explanation help or did you already know that?
 

What is the area under the curve in probability?

The area under the curve in probability refers to the total area between a probability density function and the x-axis. This area represents the probability of a random variable falling within a certain range of values.

Why is the area under the curve important in probability?

The area under the curve is important in probability because it allows us to determine the likelihood of an event occurring based on a continuous distribution of values. It also helps us visualize and compare the probabilities of different outcomes.

How is the area under the curve calculated?

The area under the curve is calculated by taking the integral of the probability density function over a specified range of values. In other words, it involves finding the area under a curve using calculus.

What does the area under the curve represent?

The area under the curve represents the probability of a random variable falling within a certain range of values. The larger the area, the higher the probability of the event occurring.

What is the relationship between the area under the curve and the total probability?

The total area under the curve represents the total probability of all possible outcomes. Therefore, the area under the curve must be equal to 1, as the total probability of all outcomes must add up to 100%.

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