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.