CHILD DEVELOPMENT PEDAGOGY

Detailed explanation-1: -Measures of Variability.-Range, Interquartile Range, Variance, and Standard Deviation. While a measure of central tendency describes the typical value, measures of variability define how far away the data points tend to fall from the center.

Detailed explanation-2: -The standard deviation is the most commonly used and the most important measure of variability. Standard deviation uses the mean of the distribution as a reference point and measures variability by considering the distance between each score and the mean.

Detailed explanation-3: -Central tendency describes the central point of the distribution, and variability describes how the scores are scattered around that central point.

Detailed explanation-4: -Standard Deviation (S. D.): One of the most stable measure of variability, it is the most important and commonly used measure of dispersion. It measures the absolute dispersion or variability of a distribution.

Detailed explanation-5: -Why does variability matter? While the central tendency, or average, tells you where most of your points lie, variability summarizes how far apart they are. This is important because the amount of variability determines how well you can generalize results from the sample to your population.