CHILD DEVELOPMENT PEDAGOGY

Detailed explanation-1: -In a normally distributed bell curve, half the scores are above the mean and half are below. IQ test scores tend to form a bell curve, with approximately 95% of the population scoring between two standard deviations of the mean score of 100.

Detailed explanation-2: -Based on the 68-95-99.7 Rule, approximately 68% of the individuals in the population have an IQ between 85 and 115. Values in this particular interval are the most frequent. Approximately 95% of the population has IQ scores between 70 and 130. Approximately 99.7% of the population has IQ scores between 55 and 145.

Detailed explanation-3: -A bell curve is a graph depicting the normal distribution, which has a shape reminiscent of a bell. The top of the curve shows the mean, mode, and median of the data collected. Its standard deviation depicts the bell curve’s relative width around the mean.

Detailed explanation-4: -IQ tests are designed so that the mean IQ score is 100, with a standard deviation of 15. That means that a measure of IQs across the overall population looks like a bell curve. This is a normal Gaussian distribution.

Detailed explanation-5: -All of these factors create the IQ distribution curve, or IQ bell curve. The purpose of an IQ bell curve is to represent and categorize how people place on the scale of intelligence. About 50% of people will have IQ scores in the center of the curve, within the standard deviation of 15 points.