ISDS 2000 : ISDS Final

• School: LSU
• Department: Information Systems & Decision Sciences
• Course: ISDS 2000
• Professor: All

Document Summary

Is the square root of the variance. Has the same units as the original data. The more the data are spread out, the greater the range, variance, and standard deviation. The more the data are concentrated, the smaller the range, variance, and standard deviation. If the values are all the same (no variation), all these measures will be zero. Know definition of geometric mean, it is a measure of central tendency rate of change of a. Suppose the mean math sat score is 490, with a standard deviation of 100. Compute the z-score for a test score of 620.