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LUCKY_DIMON [66]
3 years ago
5

At a soccer tournament 12 teams are wearing red shirts, 6 teams are wearing blue shirts, 4 teams are wearing orange shirts, and

2 teams are wearing white shirts. For every 2 teams at the tournament, there is 1 team wearing _____ shirts..
Mathematics
2 answers:
Alchen [17]3 years ago
8 0
When you add 12, 6, 4 and 2, you will get 24. 12 of the 24 teams wear red shirts, so for every 2 teams there would be 1 team wearing red
Volgvan3 years ago
7 0

Answer:

For  every 2 teams at the tournament, there is 1 team wearing <u>RED</u><u> </u>shirts

Step-by-step explanation:

We are given that:

At a soccer tournament 12 teams are wearing red shirts,

6 teams are wearing blue shirts,

4 teams are wearing orange shirts,

and 2 teams are wearing white shirt

Total teams in the tournament=12+ 6+4+2

                                                  =24

                                                  =2(Teams wearing red shirt)

This means for  every 2 teams at the tournament, there is 1 team wearing

<u>RED </u>shirts

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A pharmaceutical company receives large shipments of ibuprofen tablets and uses an acceptance sampling plan. This plan randomly
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Answer:

0.7208 = 72.08% probability that this whole shipment will be accepted.

Step-by-step explanation:

For each tablet, there are only two possible outcomes. Either it meets the required specifications, or it does not. The probability of a tablet meeting the required specifications is independent of any other tablet, which means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

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4% rate of defects

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P(X \leq 1) = P(X = 0) + P(X = 1)

Thus

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

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P(X = 1) = C_{26,1}.(0.04)^{1}.(0.96)^{25} = 0.3748

Then

P(X \leq 1) = P(X = 0) + P(X = 1) = 0.3460 + 0.3748 = 0.7208

0.7208 = 72.08% probability that this whole shipment will be accepted.

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3 years ago
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