ASSIGNMENT 3 Discrete Random Variables and Probability Distributions

Each point x is represented by the interval x 5 x5

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continuity. Each point x, is represented by the interval (x-.5, x+.5) and then the normal probabilities are calculated. 4. When we convert normal distributions to the standard normal distribution, we are essentially making them all alike. How is this possible and what are the implications? Normal distributions are bell-shaped and symmetric about their means. When a normal population is standardized, every value is replaced by how many standard deviations above or below the mean that particular value is. So in a normal population with mean 10 and standard deviation 2, the value 12 becomes z=1 and so does the value 14 in a normal population with mean 10 and standard deviation
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