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STatiana [176]
3 years ago
11

Probability! . How many possible outcomes are in the sample space for the event \"first roll a die, and then shoot a basket\"? I

don't quite understand this question.. . Options:. a)16. b)12. c)2. d)6
Mathematics
2 answers:
tensa zangetsu [6.8K]3 years ago
5 0

b is the answer as it is given in my text i discussed with my teacher too



Mashutka [201]3 years ago
4 0
<h2>Answer:</h2>

Option: b is the correct answer.

The number of possible outcomes that are in the sample space for the event "first roll a die, and then shoot a basket\" are:

                 b)  12

<h2>Step-by-step explanation:</h2>

As we know that there are total 6 outcomes on rolling a die.

The outcomes are:

{ 1, 2 , 3 , 4 , 5 , 6 }

Also, on shooting a basket there are two outcomes:

One is ball will go in the basket(B) and the other is it won't go into the basket(NB)

Hence, the sample space for the event:

"first roll a die, and then shoot a basket\" is given by:

(1,B)    (2,B)     (3,B)    (4,B)    (5,B)   (6,B)

(1,NB)    (2,NB)   (3,NB)    (4,NB)    (5,NB)   (6,NB)

         Hence, the number of outcomes are:

                      b)   12

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4 0
3 years ago
A 40 ft power boat is on sale by owner. How long is the boat to the nearest yard?
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3 years ago
PLEASE TELL ME ITS ANSWER
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Step-by-step explanation:

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3 years ago
Eighty percent of all California drivers wear seat belts. If three drivers are pulled over,
romanna [79]

Answer:

The probability that the three drivers would wear seat belts is 0.5

Step-by-step explanation:

Given

Percentage of drivers using seat belt = 80%

Number of drivers pulled over = 3

Required

Probability that all three drivers wore seat belt

First, the probability that a driver would wear seat belt has to be calculated.

Let's represent that with P(D)

P(D) is equivalent to the percentage of drivers using seat belt

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P(D) = 0.8

Let the probability that the three drivers would wear seat belts be represented as P(All).

P(All) is calculated as thus;

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<em></em>

<em>Mathematically, this means</em>

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P(All) = 0.8 * 0.8 * 0.8

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3 years ago
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