arc/notes
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

vault backup: 2024-01-08 14:32:45

Browse Source
This commit is contained in:
zleyyij 2024-01-08 14:32:45 -07:00
parent 45dfa4d992
commit 4538bf0262
1 changed files with 13 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
education/statistics/Probability.md
View File

@ -20,14 +20,25 @@ $p(h)$ is the mathematical shorthand for something happening, in this case $p(h)
## Independent Events ## Independent Events
If the chance of a second event does not change depending on the outcome of the first event, an event is considered independent. An example of this might be drawing from a deck of cards, then replacing the card. If the chance of a second event does not change depending on the outcome of the first event, an event is considered independent. An example of this might be drawing from a deck of cards, then replacing the card.
To find the probability of two independent events taking place, you can multiply the probability of those events together.
This is also known as unconditional chance. This is also known as unconditional chance.
To find the probability of two independent events taking place, you can multiply the probability of those events together.
```
p(a) * p(b) = p(both a and b taking place)
```
To find the probability of one event or another event taking place, you can add the probability of those two events together
```
p(a) + p(b) = p(a or b taking place)
```
## Dependent Events ## Dependent Events
If an event is influenced by other events, it is considered dependent. An example of this might be drawing from a deck of cards, not replacing, then drawing again. If an event is influenced by other events, it is considered dependent. An example of this might be drawing from a deck of cards, not replacing, then drawing again.
This is also known as conditional chance. This is also known as conditional chance.
### Mutually Exclusive Events
Mutually exclusive events are events that cannot both occur within a given set of measurements. An example of this might be flipping a coin and getting both heads and tails on the same toss. You can only add the chance of two events together if the events are mutually exc
| Phrase | Definition | | Phrase | Definition |
| ---- | ---- | | ---- | ---- |