Suppose your manager indicates that for a normally distributed data set you are analyzing, your company wants data points between z=−0.6z=-0.6 and z=0.6z=0.6 standard deviations of the mean (or within 0.6 standard deviations of the mean). What percent of the data points will fall in that range? Answer: percent (Enter a number between 0 and 100, not 0 and 1 and round to 2 decimal places)
Suppose your manager indicates that for a normally distributed data set you are analyzing, your company wants data points between z=−0.6z=-0.6 and z=0.6z=0.6 standard deviations of the mean (or within 0.6 standard deviations of the mean). What percent of the data points will fall in that range? Answer: percent (Enter a number between 0 and 100, not 0 and 1 and round to 2 decimal places)
Suppose your manager indicates that for a normally distributed data set you are analyzing, your company wants data points between z=−0.6z=-0.6 and z=0.6z=0.6 standard deviations of the mean (or within 0.6 standard deviations of the mean). What percent of the data points will fall in that range? Answer: percent (Enter a number between 0 and 100, not 0 and 1 and round to 2 decimal places)
Suppose your manager indicates that for a normally distributed data set you are analyzing, your company wants data points between z=−0.6z=-0.6 and z=0.6z=0.6 standard deviations of the mean (or within 0.6 standard deviations of the mean). What percent of the data points will fall in that range?
Answer: percent (Enter a number between 0 and 100, not 0 and 1 and round to 2 decimal places)
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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