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Why is the central limit theorem an important idea for dealing with a population not normally distributed?
According to the Central Limit Theorem, even if a variable has an underlying distribution which is not Normal, the means of random samples from the population will be normally distributed with the population mean as its mean.
Are you random?
In a way, Yes. I am Random. Not as random as Random could be though. I made a choice in order to get Internet. I made a choice in order to start answering questions here on this site. I even made a choice when it comes to answering this particular question. So... from my point of view, No, I am not Random. Still.. You could possibly count on somebody to give you an answer. You would have no possible way of knowing who that would be. To you, Yes, I am a Random Person. Even Random choices makes possible possibilities a possible possibility even if it seems possibly impossible to be possibly possible...
What do you get when you add two even numbers together?
An Even number.
-8 w - 10?
-18
What are the rules of multiplying odd and even numbers?
Multiplying two odds together gives an odd result Otherwise multiplying one even and one odd, or two even numbers together gives an even result.
