Just give me a real LIFE scenario where this can be implemted. Equation (1) defines the probability

Just give me a real LIFE scenario where this can be implemted.

 

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Equation (1) defines the probability density function (PDF) of temperature change T as a function of the mean and the standard deviation . It assumes that T follows a normal distribution, which means that it is symmetric and thin-tailed. A thin-tailed. distribution has low probabilities for extreme outcomes, such as very high or very low temperatures. Equation (1) defines the probability density function (PDF) of temperature change T as a function of the mean and the standard deviation . It assumes that T follows a normal distribution, which means that it is symmetric and thin-tailed. A thin-tailed. distribution has low probabilities for extreme outcomes, such as very high or very low temperatures.