CHILD DEVELOPMENT PEDAGOGY

Detailed explanation-1: -the majority of scores fall in the middle. In a normal distribution, there is a bulge of scores in the average part, along with smaller numbers of extreme scores on either side. There are numerous examples of normal distributions, such as intelligence, weight, or height in a population.

Detailed explanation-2: -The middle point of a normal distribution is the point with the maximum frequency, which means that it possesses the most observations of the variable. The midpoint is also the point where these three measures fall. The measures are usually equal in a perfectly (normal) distribution.

Detailed explanation-3: -Since the area under the normal probability distribution is equal to 1, half of the area to the right of the mean is 0.5, and half of the area to the left of the mean is 0.5 too. It is known that the median divides the data into two equal halves. Thus the mean and the median are equal for a normal distribution.

Detailed explanation-4: -Since the normal distribution is symmetrical in nature, the range of the normal distribution is from −∞ to ∞ which means it contain infinite number of values.

Detailed explanation-5: -the median, symbolized Mdn, is the middle score. It cuts the distribution in half, so that there are the same number of scores above the median as there are below the median. Because it is the middle score, the median is the 50th percentile.