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This page provides a list of educational videos related to Probability Outcomes. You can also use this page to find sample questions, apps, worksheets, lessons , infographics and presentations related to Probability Outcomes.
Finding Possible Outcomes
By larryschmidt
How to determine the number of possible outcomes in probability problems.
Example: Bag of unfair coins
By Khan Academy
Example where the probability of an outcome is dependent on which coin you happen to pick
Pre Algebra Help from MathHelp.com - Math Probability
By yourteachermathhelp
Students learn that probability is the likelihood that a given event will happen, and probability can be found using the following ratio: (number of favorable outcomes) / (number of total outcomes). For example, the probability that the flip of a coin will come up heads is: (1 favorable outcome) / (2 possible outcomes), or 1/2. Note that probability can be written as a fraction (1/2), a decimal (0.5) or a percent (50%). Video is good quality and good for all students as a review or initial learning of the topic.
Probability -Flipping a Coin (Part 2)
By Khan Academy
The probability of getting 7 tails in a row is 1/128. How come? We find the probability for EACH tails first. Any particular outcome is 1 out of 128 of the total number of outcomes. What's the probability of getting EXACTLY one heads? Watch the instructor explain starting at 2:20.
Probability with permutations and combinations
By Khan Academy
The probability of getting exactly 2 heads when flipping three coins. Thinking about this by visualy depicting all of the outcomes.
2 Examples of Probability With & Without Replacement
By Khan Academy
The probability of getting exactly 2 heads when flipping three coins. Thinking about this by visualy depicting all of the outcomes.
Example: Probability of rolling doubles
By Khan Academy
We're thinking about the probability of rolling doubles on a pair of dice. Let's create a grid of all possible outcomes.
The counting principle
By Khan Academy
We'll use a tree diagram to visualize and count all the possible outcomes. This helps us to determine the probability.
The counting principle
By Khan Academy
We'll use a tree diagram to visualize and count all the possible outcomes. This helps us to determine the probability.
The counting principle
By Khan Academy
We'll use a tree diagram to visualize and count all the possible outcomes. This helps us to determine the probability.
What MUTUALLY EXCLUSIVE means in Probability Theory
By The Critical Thinker Academy
A short video that gives the basic definition of "mutually exclusive" events (events that have no outcomes in common, also called disjoint events) in probability theory.
Example: Picking a non-blue marble
By Khan Academy
In this example we are figuring out the probability of randomly picking a non-blue marble from a bag. Again we'll have to think about the possible outcomes first.
Simple probability
By Khan Academy
In order to find the probability of picking a yellow marble from a bag, we have to first determine the number of possible outcomes and how then many of them meet our constraints.
Simple probability
By Khan Academy
In this example we are figuring out the probability of randomly picking a non-blue marble from a bag. Again, we'll have to think about the possible outcomes first.
Simple probability
By Khan Academy
In this example we are figuring out the probability of randomly picking a non-blue marble from a bag. Again, we'll have to think about the possible outcomes first.
Simple probability
By Khan Academy
In this example we are figuring out the probability of randomly picking a non-blue marble from a bag. Again, we'll have to think about the possible outcomes first.
Calculating Probability: “And” Statements, Dependent Events.
By PatrickJMT
This video shows us how we can analyze "and statements" involving dependent events. We must use the multiplication rule of probability, since both outcomes must occur in sequence.
Probability: Marbles from a bag
By Khan Academy
In order to find the probability of picking a yellow marble from a bag we have to first determine the number of possible outcomes and how then many of them meet our constraints.