Table of Contents

- 1 What must be true for two events to be independent?
- 2 Can 2 independent events both happen?
- 3 When two events are disjoint they are also independent True or false?
- 4 When two events are independent then these events are called *?
- 5 Why do we use conditional probability when events are independent?
- 6 What is the difference between independent events and dependent events?

## What must be true for two events to be independent?

Independent Events: Two events A and B are said to be independent if the fact that one event has occurred does not affect the probability that the other event will occur. If whether or not one event occurs does affect the probability that the other event will occur, then the two events are said to be dependent.

### Can 2 independent events both happen?

Probability of Two Events Occurring Together: Independent Just multiply the probability of the first event by the second. For example, if the probability of event A is 2/9 and the probability of event B is 3/9 then the probability of both events happening at the same time is (2/9)*(3/9) = 6/81 = 2/27.

**What is the rule of independent events?**

Two events are independent if the occurrence of one does not change the probability of the other occurring. An example would be rolling a 2 on a die and flipping a head on a coin. Rolling the 2 does not affect the probability of flipping the head.

**What does it mean when two events are independent?**

probability

In probability, we say two events are independent if knowing one event occurred doesn’t change the probability of the other event.

## When two events are disjoint they are also independent True or false?

When two events are disjoint, they are also independent. False. The correct answer is False because two events are disjoint if they have no outcomes in common. In other words, the events are disjoint if, knowing that one of the events occurs, we know the other event did not occur.

### When two events are independent then these events are called *?

Difference between Mutually exclusive and independent events | |
---|---|

When the occurrence is not simultaneous for two events then they are termed as Mutually exclusive events. | When the occurence of one event does not control the happening of the other event then it is termed as an independent event. |

**Is A and B are mutually exclusive then?**

A and B are mutually exclusive events if they cannot occur at the same time. This means that A and B do not share any outcomes and P(A AND B) = 0. Therefore, A and C are mutually exclusive.

**How do you find the probability of two events being independent?**

If events are independent, then the probability of them both occurring is the product of the probabilities of each occurring. P (A) = 0.20, P (B) = 0.70, A and B are independent. The 0.14 is because the probability of A and B is the probability of A times the probability of B or 0.20 * 0.70 = 0.14.

## Why do we use conditional probability when events are independent?

The last two are because if two events are independent, the occurrence of one doesn’t change the probability of the occurrence of the other. This means that the probability of B occurring, whether A has happened or not, is simply the probability of B occurring. Continue with conditional probabilities.

### What is the difference between independent events and dependent events?

“AND” or Intersections 1 Independent Events. Two events are independent if the occurrence of one does not change the probability of the other occurring. 2 Dependent Events. If the occurrence of one event does affect the probability of the other occurring, then the events are dependent. 3 Independence Revisited.

**What is the formula for calculating the probability of an event?**

P (A and B) = P (A) * P (B) P (A|B) = P (A) P (B|A) = P (B) The last two are because if two events are independent, the occurrence of one doesn’t change the probability of the occurrence of the other. This means that the probability of B occurring, whether A has happened or not, is simply the probability of B occurring.