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Understanding Probability Concepts 1. Describe in your own words the implications of these words or, and, given as it relates to the types of probability rule(s). 2. When are two events said to be mutually exclusive? give a real life example to explain your answer. 3. When are two event said to be Independent? give a real life example to explain your answer 4. How do you show that two event are independent? 5. Describe in your own words the conditional probability rule. Give and example of conditional probability.

          Understanding Probability Concepts
1. Describe in your own words the implications of these words
or, and, given as it relates to the types of probability rule(s).
2. When are two events said to be mutually exclusive? give a real
life example to explain your answer. 3. When are two event said to
be Independent? give a real life example to explain your answer 4.
How do you show that two event are independent? 5. Describe in your
own words the conditional probability rule. Give and example of
conditional probability.

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Added by Consuelo C.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Ekaveera Kumar

03/07/2022

Step 1

In other words, if event A happens, then event B cannot happen at the same time. For example, when tossing a coin, getting heads and getting tails are mutually exclusive events because you cannot get both outcomes at the same time. Show more…

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Understanding Probability Concepts 1. Describe in your own words the implications of these words or, and, given as it relates to the types of probability rule(s). 2. When are two events said to be mutually exclusive? give a real life example to explain your answer. 3. When are two event said to be Independent? give a real life example to explain your answer 4. How do you show that two event are independent? 5. Describe in your own words the conditional probability rule. Give and example of conditional probability.

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00:01 Basically, two events a and b are said to be mutually exclusive when they cannot occur simultaneously.

00:24 When they cannot occur simultaneously, that is the meaning of mutually exclusive events.

00:32 Example, toss a coin.

00:38 Let a is an event getting heads tossing a coin, five coin.

00:45 And b is an even getting tails.

00:52 Is it possible when you toss a coin that you will get both head sign tails? in possible.

00:56 So, a and we are mutually exclusive because you can't get both head signs at the same time.

01:03 Either it will be heads or it will be tails only.

01:07 Next, independent.

01:09 Two events are said to be independent.

01:13 Two events are set to be independent.

01:20 When one event does not affect the other, then one, one does not affect the other.

01:31 For example, a is in the event getting heads when a coin is tossed.

01:41 Getting heads when a fake coin is tossed.

01:47 Fair coin is tossed.

01:50 And b isn't even getting one on a fair day dies.

01:59 With left hand, assume that you are tossing a coin with the right hand, assume that you are tossing a dial.

02:05 Does the outcome of the one? of fade coin in any way is related to the outcome of fadex? no.

02:17 If getting heads on fade coin, it doesn't mean that you won't get one on fade dice.

02:21 You might get, you might not get...

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