- My Forums
- Tiger Rant
- LSU Recruiting
- SEC Rant
- Saints Talk
- Pelicans Talk
- More Sports Board
- Fantasy Sports
- Golf Board
- Soccer Board
- O-T Lounge
- Tech Board
- Home/Garden Board
- Outdoor Board
- Health/Fitness Board
- Movie/TV Board
- Book Board
- Music Board
- Political Talk
- Money Talk
- Fark Board
- Gaming Board
- Travel Board
- Food/Drink Board
- Ticket Exchange
- TD Help Board
Customize My Forums- View All Forums
- Show Left Links
- Topic Sort Options
- Trending Topics
- Recent Topics
- Active Topics
Started By
Message
re: "Half the schools are below average" - not always true
Posted on 10/1/14 at 5:17 pm to SpidermanTUba
Posted on 10/1/14 at 5:17 pm to SpidermanTUba
quote:
Sure I can. We're measuring how many schools fall below average. Look at the OP. Its not that hard to grasp.
You're asserting that for large enough numbers of schools, half will fall below average. You are basing this on the central limit theorem which applies to random samples - however, the samples are not random, meaning you are wrong. (Not surprising from a guy who thinks ice has no mass.)
wow. the stupidity here is on par with runningtiger from the rant.
good luck fatso.
Posted on 10/1/14 at 5:25 pm to CptBengal
quote:
wow. the stupidity here is on par with runningtiger from the rant.
good luck fatso.
Hey I think I found something you should read
quote:LINK /
Central limit theorem (CLT) is considered an important topic in statistics, because it serves as the basis for subsequent learning in other crucial concepts such as hypothesis testing and power analysis. There is an increasing popularity in using dynamic computer software for illustrating CLT. Graphical displays do not necessarily clear up misconceptions related to this theorem. Many interactive computer simulations allow users to explore the programs in a "what-if" manner. However, users may further build up other misconceptions when they start with unclear concepts of the components that contribute to CLT. This paper analyzes common misconceptions in each component of CLT and evaluates the appropriateness of use of computer simulation. CLT states that a sampling distribution, which is the distribution of the means of random samples drawn from a population, becomes closer to normality as the sample size increases, regardless of the shape of the distribution. Misconceptions are found about the following areas: (1) randomness and random sampling; (2) relationships among sample, population, and sampling distribution; (3) normality; (4) parameters of the sampling distribution; and (5) relationships between the sampling distribution and hypothesis testing. (Contains 31 references.) (Author/SLD)
Its right up your alley
Popular
Back to top
Follow TigerDroppings for LSU Football News