Probability
Chapter 12
Friday April 11th
12-1
& 12-2 Introduction to Probability & Experimental Probability
 In class: Power Point examples and puzzle on probability
 Homework: 12-1 and 12-2 Practice B (2 –sided)
Monday April 14th
12-3
Counting methods and Sample Space
 In class: Power Point examples and puzzle on Fundamental counting
principle
 Homework: 12-3 Practice B
Tuesday April 15th
12-4
Theoretical Probability
 In class: Power Point examples and probability puzzle
 Homework: 12-4 Practice B
Wednesday April 16th
In class: Review for Chapter 12 Quiz with stations
 Homework:
Practice Quiz
Thursday April 17th Quiz on Chapter 12
Chapter 12 Vocabulary
Probability is the measure of how likely an event is to occur.
An experiment is an activity involving chance that can have different
results. Flipping a coin and rolling a number cube are examples of
experiments.
The different results that can occur are called outcomes of the
experiment. If you are flipping a coin, heads is one possible outcome.
Performing an experiment is one way to estimate the probability of an
event. If an experiment is repeated many times, the experimental
probability of an event is the ratio of the number of times the event
occurs to the total number of times the experiment is performed.
Sample spaces are used in finding probability. The sample space for
an experiment is all the possible outcomes. You can use {} to show
sample spaces.
Theoretical Probability
Another way to estimate probability of an event is to use theoretical
probability. One situation in which you can use theoretical probability
is when all outcomes have the same chance of occurring. In other
words, the outcomes are equally likely.
An experiment with equally likely outcomes is said to be fair. You can
usually assume that experiments involving items such as coins and
number cubes are fair.
When you combine all the ways that an event can NOT happen, you
have the complement of the event.