Bell Shaped Graph. However many other distributions are bell-shaped such as the Cauchy Students t and logistic distributions. A bell curve also known as normal distribution curve is a way to plot and analyze data that looks like a bell curve.
Different tests may result in different means and standard deviations but the shape of the graph is nearly always the same. The shape of the curve is described as bell-shaped with the graph falling off evenly on either side of the mean. -The curve is bell-shaped-The curve is symmetrical about 0-The curve extends indefinitely in both directions approaching but never touching the horizontal axis as it does soThe t-curves are flatter and wider than the standard normal curve though as the number of degrees of freedom increases the t-curves looks increasingly like the standard normal curve.
In the bell curve the highest point is the one that has the highest probability of occurring and the probability of occurrences goes down on either side of the curve.
Why is the normal distribution important. A bell curve is a plot of normal distribution of a given data set. Bell curve is a curve in the shape of a bell in the graph sheet obtained as a result of the normal distribution also referred to as Gaussian distribution. -The curve is bell-shaped-The curve is symmetrical about 0-The curve extends indefinitely in both directions approaching but never touching the horizontal axis as it does soThe t-curves are flatter and wider than the standard normal curve though as the number of degrees of freedom increases the t-curves looks increasingly like the standard normal curve.
