Tuesday, March 6, 2007

Today's Slides: March 6

Here they are ...





To see a larger image of the slides go here. When you get there you'll see a button in the bottom right-hand corner that says [full]. Click it and the slides will display in full screen mode.

Mutually Exclusive





Mutual Exclisive events





So today in class we got to explore what mutually exclusive events are.


They are events that mutual ( have the same relation with or to each other ) but exlusive, ( or exclude the other ).





EXAMPLE: true and false


You are given a test with true or false questions, you can only choose true or false. You are CANNOT choose both true or false at the same time. If you choose false, then the answer cannot be true, and if you choose true the answer cannot be false. Even though they share a MUTUAL relationship to this situation, the occurrence of one EXCLUDES the occurrence of the other. This is a mutually exclusive event








The Formulla we were given and the situation that we used it in:

Draw either a king or spade in a complete deck of 52 playing cards











A represents the 4 kings that may be drawn and BPhotobucket - Video and Image Hosting











During this class we also talked about Independent and Dependent events in relation to Mutually exclusive events








Example


rolling two dice and getting an even sum or double. This is Dependent but Not mutually exclusive.





DEPENDENT EVENTS ARE NEVER MUTUALLY EXCLUSIVE





INDEPENDENT EVENTS can be either MUTUALLY EXCLUSIVE or NOT





There were more questions we worked on and even though i didnt quit get it at first working through it in class helped. I'm still a bit fuzzy on it. But feel free to refer to the slides if you wish.. I hope this isnt too flashy. When i see that I can use HTML and i REALLY use HTML and... hehehe ... and the next scribe is..drum roll please....
(>n_n)>~-( DRUM ROLLLING )-~<(n_n<) ....
Jhay-Ar

Monday, March 5, 2007

BOB

I thought that Probability was really complicated. Even now, I think it's very complicated. But i'm getting the hang of it. There's a lot more work that you have to do compared when we did matrices, we did most of that on the calculator but i think that you have to write things down so that you get a visual of what you're trying to solve. I guess that's why I think it's more complicated. It was a good unit throughout. I thought that it was one of those "wake up and get serious" units because it really got us thinking to the point where we confused ourselves. I don't know what to say, so that's it. Bye guys.

Hey people! heres the scribe for Friday.

In class we learned more about independent events and dependent events

Independent events: The outcome of one has no affect on the outcome of the other

Dependent events:The outcome of the first event affects the probability of the outcome of the second event

An example of a dependent event:

There are 6 marbles in a bag: 3 red, 1 blue, 1 green
and 1 yellow.
A)What's the probability of picking a yellow marble?
B)What's the probability of picking a blue marble?

A)The probability of picking a yellow marble is 1 out of 6

B)The probability of picking a blue marble is 1 out of 5

This problem is a dependent event because the sample space changed. The sample space changed because you picked a yellow marble and did not put it back. The outcome of the first event changed the probability of the outcome for the second event.

On the other hand, if you picked up the yellow marble, then replaced it back in the bag, it would be an independent event because the sample space wouldn't change!

AND, here is the sribe for today.

Today in class we learned about mutually exclusive events and not mutually exclusive events.

Mutually exclusive events or disjoint events, have no outcomes in common.

an example of a mutually exclusive event:

If you roll a six-sided die once, the events

A = rolling a 2 or a 4
B = rolling a 1 or 3

These are disjoint events because they cannot both happen.

Not mutally exclusive when two events are not mutually exclusive, it is possible for them to occur together.

an example of a non mutually exclusive event:

Consider a two-sided coin and a six-sided die. Let event A be tossing a head and let event B be rolling a 6. The probabily that both A and B occur is

P(A) X P(B) = (1/2) X (1/6) = 1/12

Since the value is not 0, it is not a mutually exclusive event.


and thats it. Sorry guys if that didnt make any sense! =s. thats all i know. lol.

BUT, the next scribe is NADIYA

Today's Slides: March 5

Here they are ...





To see a larger image of the slides go here. When you get there you'll see a button in the bottom right-hand corner that says [full]. Click it and the slides will display in full screen mode.

Friday, March 2, 2007

Today's Slides: March 2

Here they are ...





To see a larger image of the slides go here. When you get there you'll see a button in the bottom right-hand corner that says [full]. Click it and the slides will display in full screen mode.

It's All In Your Hands!



Go to flickr.com. Sign up for a free account. Get 5 pictures into your account ASAP, but remember, do not use your last name and no pictures of people's faces.

This picture shows that 7 x 7 = 49 ... click on it to find out how. ;-)

Cheers!
Mr. K.