More on Normal Distributions
First, this section talks about the history of the normal distribution and the central limit theorem and the relation of normal distributions to errors. Then, it discusses how to compute the area under the normal curve. It then moves on to the normal distribution, the area under the standard normal curve, and how to translate from non-standard normal to standard normal. Finally, it addresses how to compute (cumulative) binomial probabilities using normal approximations.
Question 1 out of 3.
Who was the 18th century statistician and consultant to gamblers that discovered the normal curve?
de Moivre
Galileo
Adrian
Gauss
Question 2 out of 3.
Why was the normal curve an important development?
It has a relatively simple formula.
Many natural phenomena are at least approximately normally distributed.
Many inferential statistics can only be computed with a normal distribution.
Question 3 out of 3.
Who is responsible for the central limit theorem?
Gauss
Laplace
Newton
Adrian