Determine whether there is any link between the normal distribution and Variation The normal distribution is a probability distribution common in everyday life. The distribution indicates that about half of the data falls on the left side of the other half tends to fall on the other side of the mean. The result of such distribution is that it forms a bell-shaped graph. Standard deviation is a concept that explains the variation or dispersal of a given value. Standard deviation is related to the mean as it explains how close or far the data is concerning the mean of the given dataset. A low standard deviation indicates that the distribution is closer to the mean, while a high standard deviation value shows that the distribution is not close to the mean (Khan, 2015). In other words, normal distribution and standard deviation are related to a point where the variance of 1 and mean of 0 are used to define a standard normal distribution. Standard deviation is used to examine the scores and their relation to the mean in the normal distribution. Using the statement "about two-thirds of observations are within one standard deviation of the mean." This indicates that any normal distribution should have a score closer to the mean. In such a case, about 68% of the total values are always within plus one or minus one standard deviation from the mean, contributing to the bell-shaped probability space (Mahmoudvand & Hassani, 2009). The standard deviation determines where most values were located in such a case. A good example of this type of distribution is learners' results in an exam where the majority score average values and a few get the exceptional grade. Need help responding to this post is this a post I agree with or do I need to add additional information? Can someone help me with this, so I can respond quickly. Thanks