Gaussian distribution

The Gaussian distribution also called as normal distribution is the most important probability distribution in statistics. As it fits in different area such as pressure, weight , height error measurement etc. natural phenomena this distribution.

bell curve

assuming μ as median value in bell curve its first standard deviation lies are 68%, 2nd are 95 and third are 99.7%.

Standard Normal Distribution and Standard Scores

The name itself denotes as standard which says the values are standard. The mean value is 0 and standard deviation is 1. It is also called as Z-distribution. And similarly the value in such distribution is called as z-score.

formula ::

Z = (x-μ ) /σ

where, σ is Standard deviation and μ is mean

Example of comparing the apple and oranges

suppose we have following data

fruit >> >>>>>>>> — — — Apples — — — — Orange

mean weight grams >> — — — -100 — — — — —140

standard deviation >> — — — — 15 — — — — — — 25

apple weigh 110 gm and orange 100 gm

Calculating the z-scores

apple = (110–100)/15 = 0.667

orange = (100–140)/25 =-1.6

The +ve z-score means apple weighs more than average apple . Similarly, orange with -ve means below the mean weight for oranges.

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