CHILD DEVELOPMENT PEDAGOGY

Detailed explanation-1: -A z-score measures exactly how many standard deviations above or below the mean a data point is. Here are some important facts about z-scores: A positive z-score says the data point is above average. A negative z-score says the data point is below average.

Detailed explanation-2: -Z-scores can be positive or negative. A positive Z-score shows that your value lies above the mean, while a negative Z-score shows that your value lies below the mean.

Detailed explanation-3: -Key Takeaways. Standard deviation defines the line along which a particular data point lies. Z-score indicates how much a given value differs from the standard deviation. The Z-score, or standard score, is the number of standard deviations a given data point lies above or below mean.

Detailed explanation-4: -Z-Score: Definition, Calculation and Interpretation The z-score is positive if the value lies above the mean, and negative if it lies below the mean. It is also known as a standard score, because it allows comparison of scores on different kinds of variables by standardizing the distribution.

Detailed explanation-5: -A statistic that tells the number of standard deviations a data value is above or below the mean is called: D. a z-score. And its formula is: z=x− with population mean, population standard deviation and x is the raw-score.