REFLECTION

Waaahh TEST on thursdayyy! Who's excited?
So, Mr. K has taught us everything we needed to know about Statistics. The only thing I learned was that Statistics is the hardest unit in Grade 12 Applied Math! hah! jk. In this unit we learned how to use normalcdf, normalpdf, binompdf, binomcdf, shadenorm, and invnorm. It was a bit confusing for me, I was having problems on which concept to use. I think the only key to pass the test is to study study study and being able to really understand the concept of normalcdf, normalpdf, binompdf, binomcdf, shadenorm and invnorm. that's all i can say. GOODLUCK everyone!

In today's class we started off by solving a problem together with our group about what we have been learning. After that we reviewed the TYPES OF DISTRIBUTION and learned about BINOMIAL DISTRIBUTION.

TYPES OF DISTRIBUTION
a.) UNIFORM DISTRIBUTION
: a distribution that has constant probability
: data may be discrete or continous.
*discrete data- can be represented by using only integers (eg number of people, number of cars, number or animals, etc...)
*continous data- can be represented using real numbers (eg height, weight, time etc...)
: Every outcome in the experiment is equally likely.
b.) NORMAL DISTRIBUTION
: data is contionous when certain experiments are carried out many, many times the probability graph of the data tend to be "bell-shaped" known as the NORMAL CURVE.
c.) BINOMIAL DISTRIBUTION
: one of the discrete probability distribution.
: It is used when there are exactly two mutually exclusive outcomes of a trial.
: These outcomes are appropriately labeled Success and Failure.

Here are the examples that we did in class...
How many girls are there in a family of four children



The experiment was done by flipping 4 coins (20 times). Each trial represented one family of four. The probabily for each outcome (0,1,2,3 girls...) was divided by 20 which is the total number of times the experiment was done for.

That's all we did for class today. Hope this helped some of y'all. :)

Amanda is the next scribe.

Experimental/ Theoretical Probability

Today, we started our class by doing a group problem. We were ask to experiment, play and take risks for the problem. The problem was entitled "A Great Way to Make Money". It was similar to the activity that the class did yesterday. After, we went over it in class and figured it out together.(everything we did should be in the slide)

We didnt learn anything new today, we just pretty much reviewed everything that we learned yesterday.

***Things that we need to always remember to be able to solve the probabilities.
1. Experimental probability --> is the chance of an event happening as determined by calculating the mathematical result.

........................number of times an event occurs
probability = ___________________________

........................total number of trials

2. Theoretical probability --> is the chance of an event happening based in repeated testing or observation

.......................number of ways the event can occur
probability = ____________________________

.......................total number of equally likely outcomes

The class finished off by solving the homework from yesterday (everything should be in the slide too) .

REMEMBER TO KEEP REVIEWING BECAUSE WE WILL BE HAVING A QUIZ SOMETIME THIS WEEK!

that'd be all everyone! :)

The next scribe is DAVID.