CHILD DEVELOPMENT PEDAGOGY

Detailed explanation-1: -The standard deviation is the average amount of variability in your dataset. It tells you, on average, how far each value lies from the mean. A high standard deviation means that values are generally far from the mean, while a low standard deviation indicates that values are clustered close to the mean.

Detailed explanation-2: -A standard deviation (or ) is a measure of how dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out.

Detailed explanation-3: -The variance measures the average degree to which each point differs from the mean. While standard deviation is the square root of the variance, variance is the average of all data points within a group. The two concepts are useful and significant for traders, who use them to measure market volatility.

Detailed explanation-4: -The standard deviation measures the dispersion or variation of the values of a variable around its mean value (arithmetic mean). Put simply, the standard deviation is the average distance from the mean value of all values in a set of data.

Detailed explanation-5: -The standard deviation is a summary measure of the differences of each observation from the mean. If the differences themselves were added up, the positive would exactly balance the negative and so their sum would be zero. Consequently the squares of the differences are added.