Moreover, each normal distribution is affected by the either the mean( ) or standard deviation( ). We tend to produce a graph like normal distribution. That is, whenever there are several different factors, affecting the outcome. Normal distribution is affected by various factors. The graph below shows the probability density function of normal distribution. Meaning, the further you get from the mean the fewer data is represented thus, it can be said that the distribution tapers out in both direction. That is, the distributions of values to the right and left of the mean are mirror images, which shows that the distribution, lastly, tapering. Secondly, it is symmetric about the mean. The normal distribution has many characteristics such as its single peak, most of the data value occurs near the mean, thus a single peak is produced in the middle. You will already be familiar with its bell shaped curve(shown below). The normal distribution is a theoretical distribution of values. To find the normal distribution we use the following formula:.The total area under the normal curve is equal to 1.Each normal distribution is affected by the either the mean( ) or standard deviation( ).The normal distribution has a bell shaped curve.
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