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Normal Distribution Name____________________________ 12-3 Data can be "distributed" (spread out) in different ways. There are many cases where the data tends to be around a central value with no bias left or right, and it gets close to a "Normal Distribution" like this: Many things closely follow a Normal Distribution: heights of people, size of things produced by machines, errors in measurements, blood pressure, marks on a test. We say the data is "normally distributed". The Normal Distribution has: mean = median = mode symmetry about the center 50% of values less than the mean and 50% greater than the mean The Standard Deviation is a measure of how spread out numbers are.When you calculate the standard deviation of your data, you will find that: 68% of values are within 1 standard deviation of the mean 95% are within 2 standard deviations 99.7% are within 3 standard deviations Example #1: How are the heights of professional athletes distributed? The frequency table below lists the heights of the 2001 Baltimore Ravens. The table shows the heights of the players, but it does not show how these heights compare to the heights of an average player. To make that comparison, you can determine how the heights are distributed. Height (in.) Frequency 67 1 69 1 70 4 71 4 72 10 73 6 74 6 75 8 76 7 77 5 80 1 a) Determine the mean, median and standard deviation. Round to the nearest tenth. b) Are the heights normally distributed? Justify your answer. Approximately what percent of the heights fall within one standard deviation of the mean? Approximately what percent should it be to be considered normally distributed? Approximately what percent of the heights fall within two standard deviations of the mean? Approximately what percent should it be to be considered normally distributed? c) Can we conclude that the data is normally distributed? Example #2: Are the weights of Red Alaskan King Crabs normally distributed? Biologists are studying the weights of Red King Crabs in the Alaskan waters. They sample 16 crabs and compiled their weights, in pounds, as shown below. 9.8 10.1 11.1 12.4 11.8 13.2 12.8 12.5 13.7 11.6 13.4 12.3 12.6 14.8 14.2 a) Determine the mean, median and standard deviation. Round to the nearest tenth. b) Are the weights normally distributed? Justify your answer. Approximately what percent of the weights fall within one standard deviation of the mean? Approximately what percent should it be to be considered normally distributed? Approximately what percent of the weights fall within two standard deviations of the mean? Approximately what percent should it be to be considered normally distributed? c) Can we conclude that the data is normally distributed? 15.1