Stat students: we did pretty well on the exams. We'll check them tomorrow. In the meantime, do you know what is wrong with each of the following statements? Just put yes or no, don't correct them...
1. The probablility that Stanford wins the Rose Bowl is -.2.
2. There is a 1.36 probability that Stanford will not win the Rose Bowl.
3. The probability that a tack lands point down is .34, and probability that a tack rolled twice and lands point down both times is .68.

Also, why aren't disjoint also independent events?

The Answers to the Multiple Choice Packet?

Hey Does anyone have the answers to the multiple choice packet?
I want to check if i got the right answers!
POST THEM PLEASE!
thanks:)

Ever Helpful M&Ms [sampling methods]

http://www.youtube.com/watch?v=wHgI6TolySw&feature=related

i found a flaw in his teachings...
what about the M&Ms that he ate?!! Do THEY have an equal chance of being chosen??
i think not!...
i know most people understand the basic sampling methods, but this video is a nice little summary for those who might have a little bit o' confusion.
but IDK! i didn't really check to see if this was a "reliable source", it all seemed pretty legit to me :P
perhaps wait for mr quinn to criticize or approve of video. =]





in other news, if anyone cares, i think i'm getting an earache. feels like my heads gonna explode... becuase its full of statistical knowledge!, i hope.

Do We Always Need an Experiment?

It has been discussed that experiment is the best way to prove a difference between treatments. Is this always the case? Can't common sense be a guide also? Suggest a scenario where do not need an experiment to know that a treatment is harmful. I'll start: we do not need a randomized experiment to show that repeated blows to the head by a piece of wood are more damaging than repeated blows by a pillow.

Chapter 13 Reading Question

Do you understanding the four (4) big ideas in experiments?
1. Control
2. Randomize
3. Replication (two types)
4. Blocking
Summarize these now in your own words.
(Go ahead, be first, take the challenge!)