Does nature follow six sigma?

Question

As we made advances in science we were able to distinguish between a normal and abnormal living things. Take humans for example,
we can see his/her physical properties(height,weight,eye sight,hearing etc etc) and say he/she is a
normal person. But still some babies are born with abnormalities.
How often this occurs? Does it come under six sigma?Do it apply equally to all living things? or is it species specific?

Answer 1

Six sigma is just a specific measure of remoteness applied to industrial processes so that the likeliness of a defect is so remote that it is virtually non-existent. But the probability is still not zero.

Six sigma, in its performance measuring definition, ensures that defects will be less than 3.4 per million (which is actually 4.5 sigma, the additional 1.5 sigma is added so as to address uncontrollable random variations). At six sigma, you should have one in one billion occurrence, or about 7 events for the current world population of about 6.5 billion.
So, nature follows the random distribution of properties. The number of sigmas is relevant only to determine how likely something is to occur, or how prevalent it is.

Answer 2

How about: Autumn Skye Sahara Lily Delilah Hazel Violet Harmony Ivy Holly Acacia Sequoia Emerald Raven Camellia Laurel Jasmine Olive Aurora Rain Robin Serenity Hope this helped♥

Answer 3

Hello Stravis,

Variation is everywhere. It probably touches our lives more closely than any other thing! Only the degree of variation may vary. For example, the heights of people vary. Similarly, various other physical characteristics vary. If we collect data of a given characteristics, say height of every person (I mean a large sample) and make a frequency distribution graph, we discover that it resembles a "bell shaped curve". This bell shape curved is called "standard normal distribution" in statistical terms. In real life, many frequency distributions follow normal distribution – once again for example heights of people. One of the characteristics of this distribution is that 68% of area (i.e. the data points) falls within the area of -1σ and +1σ on either side of the mean. Similarly, 2σ on either side will cover approximately 95.5% area. 3σ on either side from mean covers almost 99.7% area. This means higher the degree of abnormality (i.e. away from the mean or average value), the lower the probability of occurrence of the same. Therefore, probability of baby being born with an unusual height (too tall or too short) will be low and can be determined from the bell curve as long as it follows the normal distribution. And I must repeat here that in real life, many frequency distributions follow normal distribution.

Hope it brings clarity...

With warm regards,

SKS