CHILD DEVELOPMENT PEDAGOGY

Detailed explanation-1: -The total area under the standard normal distribution curve is 1. Therefore, if we have a Z score, i.e., how far a value is above or below the mean, we can determine the probability of a value less than or greater than that.

Detailed explanation-2: -The total area under a normal distribution curve is 1.0, or 100%. A normal distribution curve is symmetric about the mean.

Detailed explanation-3: -68% of the area is within one standard deviation (20) of the mean (100). The normal distributions shown in Figures 1 and 2 are specific examples of the general rule that 68% of the area of any normal distribution is within one standard deviation of the mean.

Detailed explanation-4: -The standard normal distribution is a special case of the normal distribution. For the standard normal distribution, the value of the mean is equal to zero (=0), and the value of the standard deviation is equal to 1 (=1).

Detailed explanation-5: -The Normal (or Gaussian) distribution is the most common continuous probability distribution. The function gives the probability that an event will fall between any two real number limits as the curve approaches zero on either side of the mean. Area underneath the normal curve is always equal to 1.