Concluding Probability

The first example we saw was a continuation from yesterday. Here are two more solutions, one using a combination and one using a permutation.

Here's another example showing how to use permutations to find probability. The reason it is a permutation is because the order matters in this case.
This example is a similar question, but order doesn't matter, so we used a combination.
We also received the key for the pretest, so don't forget to prepare for the test tomorrow. Remember that we will be using calculators.

Tuesday, May 20

So we meet again... First off I hope everyone had an enjoyable long weekend and I also hope the Rugby girls that missed today are having fun kicking butt.

So we began todays class by making a schedule for the rest of the classes leading up to the exam. Not a whole lot of learnin left until we begin review.. Time flies! Anyway the calender below shows what we have left and that we will still be having a test three days before the exam and hopefully 5 days of review can be squeezed in.

Remember... Do not bug Mr. Max for your results until at least the week after.. Then bug him all you possibly can.
The last of the probability examples were shown today as Max showed us some conditional probability problems.

Here are the final cumalitive exercises on probability assigned. And he has yet to do a homework check on exercises 39-41. So make sure you're up to date on all your assignments and be sure to look at your pre-test as we have a test coming up!! If your not quite sick of math yet then there are also the old exams which I strongly encourage everyone to take a peek at.

Farewell! Until next time...

Thursday, May 15

Hey! Yesterday was *Darlene day* and i was hoping to scribe for you all. I didn't have a chance but I noticed no one else had so I'll post it up now... Better late than never eh?



Well anyway yesterday we continued probability and learned about dependent and independent events. Indepent means if two or more events occur, the first one has no effect on the second event.
A dependent event means the outcome of the first event will effect the outcome of the second event.


Two events are known to be mutually exclusive if there outcomes have no common elements.
Two mutually inclusive events can happen at the same time.


Remember to do your homework on exercises 40 and 41. Chances are there'll be a homework check in the near future. Also accelerated math is due Friday so try and master 49 objectives.

Sincerely yours...
Gregoire

Probability

Hey todays my day to scribe!....He began by telling us the two types of events that can occur in probability.

Then he showed us an example using a fair die:

Then he went on to show us the Addition Law and Multiplication Law with some examples:

Then he drew us a nice picture of a sample space that cooresponds with the example above to show how he got the answer (20/36).

and finally the homework that is due sometime soon:

max also enlightened us about the "Barber's Paradox"...how the barber cuts everyones hair in town but not his own..... cindy.






ANNA

Probability, May 13

We started probability today.
It was a rather short lesson.
Homework check tomorrow on exercise 36, 37, and 38.
49 accelerated math objectives due friday.
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