Dependent events are when an event affects the probability of the other event. We usually see this when items are not replaced. For example choosing outfits for the entire week would reduce the number of outfits available to wear each time an outfit is chosen. You would have one less outfit to wear each time you choose an outfit for a day..
View the website here to review a summary of independent and dependent events along with examples to follow.
Compound probability is when two or more events happen together.
Independent events are occurrences whose outcomes don't affect one another.
Use the guided notes provided in class to follow the video. You will be learning about tree diagrams, area models, and lists that show a sample space of any event.
The tree diagram to the right shows the probability of flipping a coin as well as that event's sample space.
Below is an area model showing the probability for rain. This example walks us through when to multiply and when to add probabilities.
Geometric probability - the odds of landing in a specified space in a shape
Think about when throwing darts, what are the odds of landing on the bulls eye?
Extra practice below.
Students have access to the Google Slides here containing all information on Theoretical and Experimental Probability.
Guided notes are included in the Google Slides as well as the teaching video.
Unit 6 Essential Questions: Probability