The toss of a coin, throwing dice and lottery draws are all examples of random events.There can be:Dependent Events: what happens depends on what happened before, such as taking cards from a deck makes less cards each time (learn more at Conditional Probability), or Independent Events: we ...
三、独立事件(independent event) 若A和B为独立事件,则 P(A\ and\ B)=P(A\cap B)=P(A)\times P(B); 四、条件概率(Conditional probability) P(A|B)=P(A∩B)P(B) 五、依赖事件(dependent event) 若A和B为依赖事件,则P(A∩B)=P(A)×P(B|A)=P(B∩A)=P(B)×P(A|B) 如果发现上...
What is the difference between independent and dependent events? Independent events are events in which the outcome of one event has no effect on the outcome of another event. Dependent events, on the other hand, are events in which the outcome of one event does affect the outcome of another...
An example of independent probability is rolling two 6s on a pair of dice. The result of each die has no effect on the result of the other die. What is dependent probability? Dependent probability happens when the outcome of one event influences the outcome(s) of one or more events ...
返回 書寫 剩下 10 不正確 0 正確 0 選項 Carrie had four different cheerleading tops: a purple tank, a purple sweater, a gold tank, and a gold sweater. What is the probability of Carrie randomly choosing a gold top on Monday, not replacing it, and then randomly choosing a purple top on...
You can use the specific multiplication rule for finding the chances of sharing a birthday in the classicBirthday Problem. When you havedependentevents, you must use thegeneralmultiplication rule. Learn more in-depth about the specific and general forms of the rule inMultiplication Rule for Calculat...
Probability of a and b for dependent and independent events. Step by step examples for finding probabilities. Statistics made easy!
1、basic concepts and properties of probability Random variable Outcomes Event Mutually exclusive events互斥事件 Exhaustive events 穷举事件 Independent events 独立事件 Dependent events 飞独立事件 2、types of probability Empirical probability经验概率
Independent and Dependent Events Suppose now we consider the probability of 2 events happening. For example, we might throw 2 dice and consider the probability that both are 6's. We call two eventsindependentif the outcome of one of the events doesn't affect the outcome of another. For exam...
Events can be:Independent (each event is not affected by other events), Dependent (also called "Conditional", where an event is affected by other events) Mutually Exclusive (events can't happen at the same time)Let's look at each of those types....