Open study

is now brainly

With Brainly you can:

  • Get homework help from millions of students and moderators
  • Learn how to solve problems with step-by-step explanations
  • Share your knowledge and earn points by helping other students
  • Learn anywhere, anytime with the Brainly app!

A community for students.

1.There are many distributions that are approximately normal. That is, most values lie near the mean and then taper off as you move away from the mean. Identify a variable that could be described with an approximately normal distribution, and explain how you came to this conclusion. EXPLAIN .

Mathematics
I got my questions answered at brainly.com in under 10 minutes. Go to brainly.com now for free help!
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.

Join Brainly to access

this expert answer

SEE EXPERT ANSWER

To see the expert answer you'll need to create a free account at Brainly

length of leaves of a tree
because it is uniformly distributed
Thank you c:

Not the answer you are looking for?

Search for more explanations.

Ask your own question

Other answers:

A classic property of this type is height (say in women), which was found to be normally distributed in some of the first studies in statistics. The explanation is that there are many factors which influence height. And there is a theorem that the mean of a sufficiently large number of "variables" is normally distributed---even if the individual variables are not normally distributed. http://en.wikipedia.org/wiki/Central_limit_theorem HTH
http://www.milefoot.com/math/stat/pdfc-normaldisc.htm

Not the answer you are looking for?

Search for more explanations.

Ask your own question