The vocabulary of trial, outcome, equally likely outcomes, relative frequency, sample space and event is used to discuss and explain events of chance.
I can explain what complementary events are
I can use the basic rules of probability to estimate likelihood of theoretical as well as everyday events
Experimental probability has to do with relative frequency. If we measure or count how often a certain outcome occurs (the frequency) then we know the probability for that outcome. E.g. if you drop 1000 push pins and 318 land with the pointy end upwards, then the probability that a push pin lands with the pointy end up is 318/1000.
In this lesson you are reminded about Sample Space: The set of possible outcomes of a chance experiment. There are various ways to describe the sample space:
In a list ( e.g. the sample space for tossing two coins {HH, HT, TH, TT}. Use proper set notation when you do this)
In a 2 dimensional grid (e.g. the outcomes of rolling two dice)
In a Tree diagram
Theoretical probability is the fraction of the number of interesting outcomes and the total number of possible outcomes of an experiment. This is the very basis of ANY probability. E.g. suppose we're interested in the outcome "A" occurring, then:
"You never fail until you stop trying." - Albert Einstein
(proper referencing: what's wrong with this quote?)
Einstein considered that you might make unsuccessful attempts but you never really fail until you stop trying.
Sheep A and B are safe from the wolf as long as there is a fence between them. We randomly remove two fences (matches) in both situations A and B. Which sheep is safer from the wolf?
http://youtube.com/watch?v=BAjOEsU_mpE
In this video I show the basic idea and a few simple examples of calculating the probability of simple events!
http://youtube.com/watch?v=dwjQaJ5xt1o
Calculating Probability - "At Least One" statements. The basic idea and one example are shown.