The standard normal distribution is a continuous distribution with a mean of 0 and a standard deviation of 1. The following is true: About 68% of all outcomes lie within I St.Dev. About 95% of all...


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The standard normal distribution is a continuous distribution with a mean of 0 and a standard deviation of 1.<br>The following is true:<br>About 68% of all outcomes lie within I St.Dev.<br>About 95% of all outcomes lie within 2 St.Devs<br>About 99.97% of all outcomes lie within 3 St. Devs.<br>The probability/percentage/percentile for a nomal distribution is the area under the curve. You will ALWAYS<br>BE CALCULATING OVER AN INTERVAL.<br>Values outside of 2 St. Devs. are considered

Extracted text: The standard normal distribution is a continuous distribution with a mean of 0 and a standard deviation of 1. The following is true: About 68% of all outcomes lie within I St.Dev. About 95% of all outcomes lie within 2 St.Devs About 99.97% of all outcomes lie within 3 St. Devs. The probability/percentage/percentile for a nomal distribution is the area under the curve. You will ALWAYS BE CALCULATING OVER AN INTERVAL. Values outside of 2 St. Devs. are considered "unusual values." X-H value- mean St.Dev Recall that 21. The salaries of employees in a large company are normally distributed with a mean of S60,000 and a standand deviation of $10.0. What is the z-value for a person who makes $52,250? a 7.80 b. 0.07 e. 4.78 d. 0.75 e. 162 Lse a table to detemine the percentage of people that make mmore than $52,250. a 78.2 b. 78.O e. 21.77 d. 77.3% e. 21.92 If you wore to pick somebody from the company at random, what is the probability that this person makes betwoen S61,000 and S65,0007 You may use any method you wish to calculate this. a. About 12% b. About 15% e. About 18N d. About 22% e. Ahout 28

Jun 11, 2022
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