When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a _

Quesiton : When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a _

Answer: unusual

When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a _ The Range Rule of Thumb roughly estimates the standard deviation of a data set as _ the Empirical Rule For data sets having a distribution that is approximately bell-shaped _ states that about 68% of all data values fall within one standard deviation from the mean. -The value of the standard deviation is never negative -The standard deviation is a measure of variation of all data values from the mean. -When comparing variation in samples with different means it is good practice to compare the two sample standard deviations. When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a _ unusual A data value is considered _ if its z-score is less than -2 or greater than 2 the corresponding z-score is negative Whenever a data value is less than the mean _ … Mon Jun 12 2017 00:00:00 GMT+0530 (IST) · Fill in the blank. When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a . When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a z-score. According to its definition a z-score is " the number of standard deviations from the mean a data point is." The answer that would best complete the given statement above is Z-SCORE. When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a Z-SCORE. Hope this helps. The z score of 2.00 is most preferable because it is 2.00 standard deviations above the mean and would correspond to the highest of the five different possible test scores. A z score (or standardized value) is the number of standard deviations that a given value x is above or below the mean. When a data value is converted to a standardized scale representing the number ... Show transcribed image text Fill in the blank. When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a . When a data value is converted to a standardized scale representing the number of standard deviations the data value lies from the mean we call the new value a _____. back 50. z-score. The term z-score represents a standardized value and is the number of standard deviations that a given x- value is above or below the mean . ... I am looking for a method to transform my dataset from its current mean and standard deviation to a target mean and a target standard deviation. Basically I want to shrink/expand the dispersion and scale all numbers to a mean .