Normal distribution, in statistics, is a continuous probability distribution that is perfectly symmetrical around the mean, signifying that data near the mean are more frequent in occurrence than data far from the mean. It is completely defined by its mean and standard deviation.
Standard deviation is a statistical measure that quantifies the amount of variation or dispersion in a set of values. It is widely used in situations where comparing variability between different data sets or understanding the consistency of data points is crucial.
The standard error measures the accuracy with which a sample distribution represents a population by indicating the degree of variability or dispersion present in the sample.
