CHILD DEVELOPMENT PEDAGOGY

Detailed explanation-1: -Most of the continuous data values in a normal distribution tend to cluster around the mean, and the further a value is from the mean, the less likely it is to occur.

Detailed explanation-2: -Normal Curve: The symmetrical bell-shaped curve that describes the distribution of many physical and psychological attributes. Most scores fall near the average, and fewer and fewer scores lie near the extremes.

Detailed explanation-3: -Data that psychologists collect, such as average tests scores or IQ scores, often look like the shape of a bell. This is known as a normal distribution. Sometimes, though, we might collect data that has an unexpected number of very high or very low values. This will give us a skewed distribution.

Detailed explanation-4: -n. the relation between the values that a variable may take and the relative number of cases taking on each value. A distribution may be simply an empirical description of that relationship or a mathematical (probabilistic) specification of the relationship.

Detailed explanation-5: -Three characteristics of distributions. There are 3 characteristics used that completely describe a distribution: shape, central tendency, and variability. We’ll be talking about central tendency (roughly, the center of the distribution) and variability (how broad is the distribution) in future chapters.