Description: The Z-score range refers to the range of values that a Z-score can take, which is a statistical measure used to describe the relative position of a value within a standard normal distribution. This score is calculated by subtracting the population mean from the value in question and dividing the result by the population standard deviation. The result is a number that indicates how many standard deviations the value is from the mean. A Z-score can be positive or negative, where a positive value indicates that the data point is above the mean and a negative value indicates that it is below. This concept is fundamental in statistics as it allows for the comparison of different datasets and the identification of outliers. Additionally, the Z-score range is essential in data normalization, facilitating analysis and interpretation across various fields such as scientific research, finance, and data analysis.
PATROCINADORES
