O Data values farther from the mean are less common than data values closer to | The mean, median and mode are all equal and occur at the center of the dist The distribution is symmetric with a single peak. | About 95% of all data values lie within 1 standard deviation of the mean. | 50% of the data values lie at or above the mean. OThe graph of the Normal Distribution is bell-shaped, with tapering tails that n the horizontal axis.
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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