What Is Joint Probability?
The term joint probability refers to a statistical measure that calculates the likelihood of two events occurring together and at the same point in time. Put simply, a joint probability is the probability of event Y occurring at the same time that event X occurs. In order for joint probability to work, both events must be independent of one another, which means they aren't conditional or don't rely on each other. Joint probabilities can be visualized using Venn diagrams.
Key Takeaways
- A joint probability is a statistical measure used to calculate the likelihood of two events taking place at the same time.
- Both events must be independent of each other.
- Joint probability is also called the intersection of two or more events.
- It is different from conditional probability, which refers to the probability that one event will happen when another event takes place.
- You can visualize joint probabilities using Venn diagrams.
Formula and Calculation of Joint Probability
Notation ♊for joint probability can take a few different forms. The following formula represents the pro♏bability of events intersection:
P (X⋂Y)where:X,Y=Two different events tꦇhat inters🅠ectP(X and Y),P(XY)=The joint probabi𒀰lity of X and Y
Fast Fact
Although joint probability can help you determine the likelihoo🉐d of two different ev๊ents happening at the same time, it does not indicate how the two events may influence each other.
What Does Joint Probability Tell You?
Probability is a field closely related to statistics that deals with the likelihood of an 🌳event or phenomenon occurring. It is quantified as a number between 0 and 1, where 0 indicates an impossible chance of occurrence and 1 denotes the certain outcome of an event.
For example, the probability of drawing a red card from a deck of cards is 1/2 = 0.5. This means there🌌 is an equal chance of drawing a red and black card&ඣnbsp;since there are 26 of each in a deck. As such, there is a 50-50 probability of drawing a red card versus a black card.
Joint probabꦏility measures two events that happen at the same time. It can only be applied to situations where more than one observation can occur at the same time. So the joint probability of picking a card that is both red and 6 from a deck is P(6 ∩ red) = 2/52 = 1/26 since a deck of cards has two red sixes—the six of hearts and the six of diamonds. Because the events red and 6 are independent, you can also use the following formula to calculate the joint probability:
P(6∩red)=P(6)×P(red)=4/52×26/52=1/26
The symbol “∩” in a joint probability is referred to as an intersection. The probability of event X and event Y happening is the same thing as the point where X and Y intersect. Therefore, the joint probability is also called the intersection of two or more events. A 澳洲幸运5官方开奖结果体彩网:Venn diagram is perhaps th🧸e best visual tool to explain an intersection:
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From the Venn above, the point where both circles overlap is the intersection, which has two observati🅰ons: the six๊ of hearts and the six of diamonds.
Joint Probability vs. Conditional Probability
Joint probability should not be confused with 澳洲幸运5官方开奖结果体彩网:conditional probability, which is the probability that one event will happen🃏 given that another action or event happens. The conditional probability formula is as follows:
P(X,given Y) or P(X∣Y)
This is to say that the chance of one event happening is conditional on another event happening. For exam🙈ple, from a deck of cards, the probability that you get a six, given that you drew a red card is P(6│red) = 2/26 = 1/13, since there are two sixes out of 26 red cards.
Joint probability only factors in theꦛ likelihood of both events occurring. Conditional probability can be used to calculate joint probability, as seen in this formula:
P(X∩Y)=P(X∣Y)×P(Y)
The probability that A and B occurs is the probability of X occurring, given that Y occurs multiplied by the probabil♏ity that Y occurs. Given this formula, the probability of drawing a 6 a🌠nd a red at the same time will be as follows:
P(6∩red)=P(6∣red)×P(red)=1/13×26/52=1/13×1/2=1/26
Statisticians and analysts use joint probability as a tool when two or more observable events can occur simultaneously. For instance, joint probability can be used to 澳洲幸运5官方开奖结果体彩网:estimate the likelihood of a drop in the 澳洲幸运5官方开奖结果体彩网:Dow Jones Industrial Average🐼 (DJIA) accompanied by a drop in Microsoft’s share price, or the chance that the value of oil rises at the same time the 澳洲幸运5官方开奖结果体彩网:U.S. dollar weakens.
Important
Joint probability depends on the two events acting independently from one another. To determine whether they are truly independent, it's important to establish whether one's outcome affects the other. If they do, they are dependent, which means they lead to conditional probability. If they don't, you end up with joint probability.
Example of Joint Probability
Let's highlight another example to show how joint probability works. This example uses dice and we want to find out what the probability is that you'll roll a four on each die when you roll them. Remember, there are six sides to each one.
In order to determine the joint probability, we first need to determine the probabไꦬility of each roll:
- The chance of rolling a three on the first die is 1/6
- The chance of rolling a three on the second die is 1/6
ᩚᩚᩚᩚᩚᩚᩚᩚᩚ𒀱ᩚᩚᩚ Now we can use the joint probability formula noted above to figure out what the joint probability is for this event by multiplying each inꦰdividual event together.
澳洲幸运5官方开奖结果体彩网: 1/6 x 1/6 = 1/36
T﷽his means that there is a 1/36 chance of roꦺlling two fours using a pair of dice.
What Is the Purpose of Joint Probability?
Joint probability is a statistical measure that tells you the likelihood🐠 of two events taking place at the same time. You can use it to determine
What Are the Conditions for Joint Proability?
Certain conditions must be met for joint probability to occur. The first condition is that the two events in question must occur at the same time. Another condition is t♏hat both events must occur independently of one another. As such, the outcomes cannot impact each other.
Can Joint Probability Be Greater Than 1?
No, joint probability can never be greater than 1. Joint probability falls between 0 and 1, where 0 denotes that the likelihood of two eve♛nts occurring simultaneously is impossible while 1 in🏅dicates that their outcome is certain.
The Bottom Line
Probability refers to the likelihood that an event will take place. But when two variables are involved, you may have joint probability. This is a statistical measure that can tell you whether two independent events are likely to occur at the same time. It is an important metric for statisticians who use it to determine relationships between two sets of variables, such as the returns of two different companies or high winds and rainfall in weather forecasting. But one thing it doesn't indicate, though, is how the two influence eaওch other.