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This Distribution plays an important role in probability and statistics, it is also called the bell curve for better reasons as it denotes the distributions of results in an unevenly manner like a swinging of a bell. This type of distribution occurs basically at every level. There are many situations where data is neither on the left or right curve it sits on the central curve or bell curve then normal distributions comes into play. It plays an important role due to its central theorem which is a major reason of difference between probability and statistics. It is also sometimes called the Gaussian distribution in the honour of Carl Gauss who used this type of distribution at its helm.
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Entities measure by Normal Distribution:-
• Heights of People
• Blood Pressure is measured by this process
• Salaries of people.
• Marks in an Examination are also done.
• IQ Scores.
• Size of things produced by machines.
To get the detailed list of entities and a better understanding of Normal Distribution refer Normal Distribution Assignment Help.
Properties Described by Normal Distribution Assignment Help
• The total Area covered under the curve is equal to one.
• The Normal Distribution is completely defined by the value of its mean and standard deviation or often called variance.
• Its Mean is at the centre and divides the area into two equal halves.
• The Normal Curve is symmetrical at the centre.
• These Properties are important for the analysis of statistics comprising of mean and mode. Whereas mean is equal to mode.
• 68 percentage of the area of normal distribution lies within one standard deviation of the mean.
• The area under the normal curve is equal to one.
• 95 percentage of area of a normal distribution lies with two parts of standard deviation.
There are various properties of Normal Distribution which have an important role in statistics can be studied under Normal Distribution Assignment Help.
Distribution of Data
The data distribution in normal distribution is done usually by graphs. A Bell curve can be easily formed using graphs. It has a bigger percentage of points on the central part whereas it has smaller percentage of points on tails. This continuous distribution has the maximum entropy for its mean and variance. It follows a couple of standard deviations. It provides a lot of opportunities to know the real grades or the result after the distribution. Its practical use is of immense features helping people solve out their day to day activities.The distribution of data can be enhanced by studying under Normal Distribution Assignment Help.
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