03 - The Normal Probability Distribution

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In this lesson, we will cover what the normal distribution is and why it is useful in statistics. We will solve problems using the normal probability distribution and describe its characteristics..

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For all those who do not understand why the area under the curve is 1: the sum of all probabilities for a sample is equal to one. For example if there is a box with blue and green and red balls and the probability of getting the respective colored balls are denoted as P(green), P(red), P(blue). The sum of their probabilities will always be equal to one. i.e. P(green)+P(red)+P(blue) = 1 The only difference between the above example and the watermelon example is that this example is a discrete distribution while the length of the watermelon is a continuous distribution. Hope this helps

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