What is the curve?
Bell curve is a graph that displays a normal distribution of variables, in which most of the values clump around the diameter, while remote values can be found above and below the diameter. For example, human height often monitors the bell curve, with remote values that are unusually short and tall, and most people concentrate around medium height, such as 70 inches (178 centimeters) for American men. When the data that is governed by a normal distribution pattern, the graph, the graph often resembles the bell in the cross -section and explains the term "bell curve". When the charts are variables and the bell curve appears, it often means that the variables were in normal expectations and that they behave in a predictable way. If the graph is distorted or irregular, it may indicate that there is a problem.
Ideally, the bell curve is symmetrical. For example, the scoring should be written in such a way that a small number of students fail with F and the same small number gets the perfect score with A. Slightly larger number of students should getDS and BS and the largest number should get CS. If the bell curve is distorted and the top of the curve is in the DS, it suggests that the test was too hard, while the test with the peak in BS is too easy.
Using the bell curve, it is also possible to reach a standard data deviation. The standard deviation shows how tightly packed variables are around the diameter. Standard deviations reflect the variety of rendered variables and can be used to collect data on data. The large standard deviation suggests that the variables are not firmly grouped and that the data may be a problem, while a small standard deviation suggests that data can be more valid.
For example, when conducting public opinion polls, the election company issues standard deviations. If the standard deviation is small, it means that it is a repetition of the vote, the data would be very close to the data of the original survey, suggesting that the election company has used valid methods and that the information is accurate. However, if there is a hundredNdard deviation large, it would indicate that repeated public opinion surveys may not return the same results, which will be less useful.