25
Feb
What Is A Normal Curve In Statistics. A normal distribution has some interesting properties. Normal data are data that are drawn come from a population that has a normal distribution. The bell curve is a graph that shows the normal distribution of shapes that are reminiscent of bells. Normal distribution also known as the Gaussian distribution is a probability distribution that is symmetric about the mean showing that data near the mean are more frequent in occurrence than.
It has a bell shape the mean and median are equal and 68 of the data falls within 1 standard deviation. Normal Distribution is a bell-shaped frequency distribution curve which helps describe all the possible values a random variable can take within a given range with most of the distribution area is in the middle and few are in the tails at the extremes. Its standard deviation represents the relative width of the bell curve around the mean. What is the standard normal curve in statistics. 68 of the values data fall within 1 standard deviation of the mean in either direction 95 of the values data fall within 2 standard deviations of the mean in either direction. Moreover it is a special type of bell-shaped curve.
This distribution is inarguably the most important and the most frequently used distribution in both the theory and application of statistics.
Normal distributions come up time and time again in statistics. This distribution is inarguably the most important and the most frequently used distribution in both the theory and application of statistics. Known characteristics of the normal curve make it possible to estimate the probability of occurrence of any value of a normally distributed variable. Most of the cases are average in the measured trait and their percentage in the total population is about 6826. Sometimes it is also called a bell curve. Normal data are data that are drawn come from a population that has a normal distribution.