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michonamona
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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
Thank you.
M
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 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.
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.
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.
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.
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%.