Question

What is the difference between independent and dependent events?

Answer 1

Answer:

Independent events: events where an outcome of one event is NOT affected by the outcome of another event.

Dependent events: events where an outcome of one event IS affected by the outcome of another event.

Step-by-step explanation:

Experimental probability is when you determine the occurrences of a favorable outcome that actually happened in your experiment divided by the number of all possible outcomes. An example would be tossing a coin 50 times. Let's say you get 35 heads and 15 tails. The experimental probability of landing on a head is 35/50 = 70% and the experimental probability of landing on a tail is 15/50 = 30%. These are experimental probabilities because 35 heads and 15 tails were the actual results you got when tossing a coin 50 times. Experimental probabilities can change when you do an experiment multiple times, getting different results.

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Answer 2

Dependent event is When two events are dependent events, one event influences the probability of another event whereas  independent event has no effect on the probability of another event occurring.

Step-by-step explanation:

Dependent events:

A dependent event is an event that relies on another event to happen first. Dependent events in probability are no different from dependent events in real life: If you want to attend a concert, it might depend on whether you get overtime at work; if you want to visit family out of the country next month.

for example:

1. Robbing a bank and going to jail.
2. Not paying your power bill on time and having your power cut off.
3. Boarding a plane first and finding a good seat.I

Independent events:

An independent event is an event that has no connection to another event’s chances of happening (or not happening).

Independent events in probability are no different from independent events in real life

for example:

1. Owning a dog and growing your own herb garden.
2. Paying off your mortgage early and owning a Chevy Cavalier.
3. Winning the lottery and running out of milk.

#Learn more:

If the probability of a win is 0.12 and the probability of a draw is 0.6, what is the probability of a loss?

https://brainly.in/question/7962977