Up Learn – A Level maths (edexcel) – Conditional Probability
What is Conditional Probability?
The probability of one event on the condition that another event has occurred is called a conditional probability.
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More videos on Conditional Probability:
Introduction to Conditional Probability (free trial)
What is Conditional Probability?
Finding Conditional Probabilities from Diagrams (free trial)
Notation for Conditional Probability (free trial)
Notation for the Union of Events (free trial)
Notation for the Intersection of Events (free trial)
The Conditional Probability Formula (free trial)
Probability Trees with Conditional Probability (free trial)
Independent Events with Conditional Probability – Part 1 (free trial)
Independent Events with Conditional Probability – Part 2 (free trial)
Probability
2. What We Mean by ‘Probability’ (free trial)
3. Numbers Instead of Words (free trial)
4. Outcomes (free trial)
5. Outcomes are Mutually Exclusive (free trial)
6. Calculating Basic Probabilities (free trial)
7. Fractions, Decimals and Percentages (free trial)
8. Non-Outcomes (free trial)
9. Sample Space (free trial)
10. Probability Notation (free trial)
11. What is an Event? (free trial)
12. Set Notation for Events (free trial)
13. Probability Notation for Events (free trial)
2. What is a Venn Diagram? (free trial)
3. Events and Venn Diagrams (free trial)
4. Euler Diagrams (free trial)
5. AND Events (free trial)
6. OR Events (free trial)
7. Complementary Events (free trial)
8. Representing Complementary Events (free trial)
9. Combining Complementary and AND/OR Events (free trial)
10. Venn Diagrams with Three Events (free trial)
2. Actions (free trial)
3. Outcomes from Multiple Actions (free trial)
4. Sample Space Diagrams (free trial)
5. AND Events from a Sample Space Diagram (free trial)
6. OR Events from a Sample Space Diagram (free trial)
7. Probability Trees (free trial)
8. Basic Probabilities from a Probability Tree (free trial)
2. Equally Likely and Not Equally Likely Outcomes (free trial)
3. Why Probability Trees are Awesome (free trial)
4. Probabilities in Probability Trees – Part 1 (free trial)
5. Probabilities in Probability Trees – Part 2 (free trial)
6. AND Events for Unequal Outcomes (free trial)
7. Outcomes as AND Events (free trial)
8. OR Events for Unequal Outcomes (free trial)
2. Trials (free trial)
3. Experiments (free trial)
4. Probabilities from Experiments (free trial)
5. Theoretical vs. Experimental Probability (free trial)
6. The Theory of Large Numbers (free trial)
7. Probability from Frequency Tables (free trial)
8. Probability from Two-Way Tables (free trial)
9. Drawing Two-Way Tables (free trial)
2. Frequency Venn Diagrams (free trial)
3. Drawing Frequency Venn Diagrams (free trial)
4. When the Overlap Frequency is Missing Part 1 (free trial)
5. When the Overlap Frequency is Missing Part 2 (free trial)
6. How Does the Shortcut Work? (free trial)
7. Probability Venn Diagrams (free trial)
8. Finding the Probability for the Overlap: The Challenge (free trial)
9. Independent vs. Dependent Events (free trial)
10. Proving Independence: The First AND Formula (free trial)
11. Finding the Probability of the Overlap using a Formula (free trial)
12. Our Previous OR Formula (free trial)
13. The ‘New’ OR Formula (free trial)
14. Why the ‘New’ OR Formula Works (free trial)
15. Why the ‘Old’ OR Formula Sometimes Works (free trial)
16. Dependent Events: A Second AND Formula (free trial)
2. What is Conditional Probability?
3. Finding Conditional Probabilities from Diagrams (free trial)
4. Notation for Conditional Probability (free trial)
5. Notation for the Union of Events (free trial)
6. Notation for the Intersection of Events (free trial)
7. The Conditional Probability Formula (free trial)
8. Probability Trees with Conditional Probability (free trial)
9. Independent Events with Conditional Probability – Part 1 (free trial)
10. Independent Events with Conditional Probability – Part 2 (free trial)
11. Resolution: Cancer Diagnosis Probabilities (free trial)
Here is a die, and a bag of disks.
Inside the bag are 8 disks – 3 red, 5 blue.
Now, let’s look at the probabilities of 2 different events.
First, the probability of pulling a blue disk from the bag is…
The probability of pulling a blue disk from the bag is 5 over 8.
Second, the probability of rolling a 5 on the die is…
The probability of rolling a 5 on the die is 1 over 6.
Now, suppose we pull out a red disk…
Leaving 2 red disks and 5 blue disks.
We can now ask about the probabilities of the same 2 events again…
But this time, we’re equipped with the knowledge that a red disk has been taken from the bag.
So now… given that we’ve pulled a red disk from the bag…
The probability of pulling a blue disk is…
The probability of pulling a blue disk is now 5 over 7.
Next… given that we’ve pulled a red disk from the bag…
The probability of rolling a 5 is…
The probability of rolling a 5 is still just 1 over 6.
Now, statisticians call this second set of probabilities…conditional probabilities.
And that’s because, for each of these, we’re asking ‘what is the probability of one event…given another has occurred’.
Or, put another way, ‘what is the probability of one event… on the condition that another event has occurred’.
So now, a conditional probability is…
A conditional probability is the probability of one event…
On the condition that another event has occurred.
Which means that… if we want the probability of landing on Heads, on the condition that a die roll landed on a 4…
Then the probability of landing on Heads is a conditional probability.
And… if we want the probability of picking a yellow marble from a bag, on the basis that we previously picked a blue marble…
Then the probability of picking a yellow marble is a conditional probability.
Now, in each example so far, the conditional probability has been connected to a second action:
We’ve picked a disk from a bag, and then… taken another disk…or even rolled a die.
But, actually, we can have conditional probabilities for single actions, too.
For example, we could ask:
‘If I roll a die once, what is the probability that I’ve rolled a 4… on the condition that I’ve rolled an even number’.
And that is still a conditional probability!
So now, which of the following describes a conditional probability?
These all describe conditional probabilities.
So, to sum up:
When we want to know the probability of one event, on the condition that another event has occurred, we call this…
When we want to know the probability of one event, on the condition that another event has occurred, we call this… conditional probability.
And we can find conditional probabilities for…
We can find conditional probabilities for single actions… or… multiple actions.
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