The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
They are said to be Normally distributed.
Yes. You could have a biased sample. Its distribution would not necessarily match the distribution of the parent population.
a rad anthem environment
American women in terms of their physical heights.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
They are said to be Normally distributed.
Yes. You could have a biased sample. Its distribution would not necessarily match the distribution of the parent population.
The way i would descibe friends with benefits is two people who have a sexual relationship but not an emotional relationship.
a rad anthem environment
American women in terms of their physical heights.
How you describe a nest of an owl is it is in a tree and it looks like a normal nest.
Yes, If you have a large data set, you can approximate the discrete data by Normal distribution (which is continuous). An example would be, "A coin is tossed 1000 times. What is the probability of rolling between 300 and 400 heads?" This problem, usually solved by Binomial distribution (which is a discrete distribution), is very difficult to solve because of the large data set and can be approximated by the Normal distribution.
A distribution table would be primarily used in the field of statistics and probability. Collecting and interpreting data is much easier when compiled in this format.
Bell-shaped, unimodal, symmetric
No. The curve in a normal distribution goes on out to plus and minus infinity. You might never see any observations out there, but if you were to make an infinite number of observations, you theoretically would.
Yes, that would be normal.