Researchers, analysts and scientist conduct a survey among their subjects or an audience to find out the natural inclination of the individuals. The numerical data received from such researches is often plotted onto the graphs and the bell curve is one of the resultant formations that the plotted information makes.
Depending upon the data received, the line or bar graph can take up any shape; in other words the inserted data could be distributed out in variant ways. For example, the information could be more spread out towards the left side of the graph or on the right. It could also be jumbled up so that the line drawn in the line graph gives a chaotic appearance. This topsy turvy display of information can also be seen in the bar graphs.
There are, however, certain other cases in which the data collected shows a wide tendency towards the mean. This means that when the information is plotted onto the graphs, the values are the highest in the middle of the horizontal. When all of these dots are connected with a line, it forms a wave-like appearance with the highest point of the wave in the center of the graph. This uphill curve can also be likened with the shape of a bell, hence giving it the name of bell curve.
The bell curve is often also called the curve of Normal Distribution, where the average number of subjects share the same characteristic. For example, for the age of 16, most of the boys are measured as having a height of 5ft. and a few inches. Depending upon their hormones and genes, many boys will grow to a different height at different stages of their lives. However, at the age of 16, when measured, the largest group of kids shared almost the same height.
When this information is translated onto the graph, one can see the highest value being plotted above the center of the horizontal axis. While there would be a few with shorter heights and some with even bigger heights, yet the greatest number of kids will share the average. This is why this display is also called normal distribution curve as this height is a normal feature amongst boys of this age.
In statistics a bell curve has been designed as a way of establishing ‘normal distribution’ over a data range. It refers to the curve that is created, with the highest number of instances in the center creating the peak of the curve and the other lesser values on either side, creating the slopes of the bell curve. IQ, as argued upon by Herrnstein and Murray is another characteristic that is likely to be represented as the bell curve when measured for a group of subjects having other things common.
This curve also proves our interpretation that IQ tests have been exceptional in measuring gifted and special people. However, there is a lot of gray area where average scores are placed. In other words they fail to measure exact development level and potentials of the average people.
There are many other factors which also follow the bell curve; things that may matter to individuals in their everyday lives. For example,
To liken a bell curve with a wave doesn’t justify it completely. There are several factors which are necessary to distinguish bell curve from the other types of curves that are used in the field of statistics.
The bell curve can be applied at many instances. For instance,
Criticism on Bell Curve IQ Graph
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