 There are three types of data distribution, normal distribution, binomial distribution and third one is Poisson distribution. So first of all, what is normal distribution? The data which is normally distributed or the data which follow normal bell shape curve is known as normal data and such type of distribution is known as normal distribution. In normal distribution, if the data has any values, if we take out the mean and take out the difference from the means of each individual value, then it is less. In contrast, a data that has asymmetric data or skewed data, the difference between the mean value and the individual values is more. The mean, median and mode of normal data are almost the same. In normal data, extreme values are very low. The mean deviation of normal data and standard error of mean values are less. So the data which follows the normal bell shape curve is called normal data and the distribution of this type is called normal distribution. The second type of data distribution is binomial distribution. Binomial data is such a data which has two possible outcomes. For example, if we play a series of five matches, then the outcome of every match is either a team match wins or the match loses. So this means that every event has two possible outcomes. The number of events here is already decided. For example, we said that the series of five matches is already decided that five matches will be played. But in this, the outcome of every match will be different. Either it will be a loss or it will be a win. Similarly, if we toss a coin, then the head and tail can also come. So the event here has two possible outcomes. One is head or tail. So this type of distribution in which we can see the two possible outcomes of data. It is called binomial distribution and the number of events in the binomial distribution is already predetermined. The third type of data distribution is Poisson distribution. In Poisson distribution, the number of events are not predetermined before. And these events are sometimes extremely high, that is, their number can be very high. In normal situations, the number of events in Poisson distribution is very low. For example, if we note the number of individuals who die within an hour in Lahore, then it is low. But sometimes their number can be very high. If someone dies due to which a lot of people die, then the number of events can be very high. So this type of data, this type of distribution, in which the events are not predetermined before, but sometimes they can be extremely high. Poisson distribution is called this type of distribution. So there are three types of data distribution. The first type is normal distribution, which follows a normal bell shape curve. This type of data has very few extreme values in it and the difference between the mean values of individual values is very few. The second type is binomial distribution. In binomial distribution, the number of events are already predetermined, but the outcome of every event is independent. And the third type is Poisson distribution. The number of events are not predetermined before, but sometimes their number increases. And in these, the number of events can be converted into an unlimited number.