Normal distribution refers to a probability distribution in which the values are symmetrically distributed around the mean (E(x)) and follow a bell-shaped curve. The value of the mean is represented by the symbol U.
The mean of a normal distribution can be calculated by taking the sum of all values and dividing it by the total number of values in the distribution.
The mean (E(x)) is the central value of a normal distribution and is used to measure the location and spread of the data. It also represents the most probable or average value in the distribution.
The mean (E(x)) is the point of symmetry in a normal distribution, meaning that the curve is centered around this value. As the mean changes, the curve shifts left or right, but remains symmetric.
Yes, a normal distribution can have a mean (E(x)) of 0. This means that the data is evenly distributed around 0, with approximately half of the values falling above 0 and half falling below 0.