The total area under the probability distribution curve is
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The normal distribution is a continuous probability distribution. This has several implications forprobability. The total area under the normal curve is equal to 1. Theprobability that a normal random variable X equals any particular value is 0.
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Step-by-step explanation:
- The area under the probability density function curve in a particular range is the likelihood that a continuous random variable falls within that range.
- The value of a random variable must fall someplace in the sample space, hence the total area under the curve for any pdf is always equal to 1. A probability density function is a continuous probability distribution.
- The smooth curve's area beneath the curve is one.
- It represents the normal distribution.A probability distribution that is symmetric about the mean is the normal distribution, sometimes referred to as the Gaussian distribution.
- It demonstrates that data that are close to the mean occur more frequently than data that are far from the mean. A bell curve represents a normal distribution on a graph.
- The curve is attached below.
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