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vladimir2022 [97]
2 years ago
13

Do you believe that the Us should convert to the metric system explain why or why not

Mathematics
1 answer:
olga_2 [115]2 years ago
7 0
This is an opinion question so I’ll give both sides.

The US should convert since the rest of the world is using it and it will make communicating ideas and thoughts more easily. This is why the scientific world uses it. The metric system is also easier since it’s based on powers of ten.

Now for the other view...

The US shouldn’t convert since the Imperial system is used at a lot of places. On highway signs, in notebooks, it’s taught in school too. Switching to the metric system would cost a lot of money just changing highway signs and changing units on chip bags and things like that. All Americans would also need to learn a new system too
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The amount of time it takes for a student to complete a statistics quiz is uniformly distributed (or, given by a random variable
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Answer:

(A) 0.15625

(B) 0.1875

(C) Can't be computed

Step-by-step explanation:

We are given that the amount of time it takes for a student to complete a statistics quiz is uniformly distributed between 32 and 64 minutes.

Let X = Amount of time taken by student to complete a statistics quiz

So,   X ~ U(32 , 64)

The PDF of uniform distribution is given by;

    f(X) = \frac{1}{b-a} ,  a < X < b      where a = 32 and b = 64

The CDF of Uniform distribution is P(X <= x) = \frac{x-a}{b-a}

(A) Probability that student requires more than 59 minutes to complete the quiz = P(X > 59)

   P(X > 59) = 1 - P(X <= 59) = 1 - \frac{x-a}{b-a} = 1 - \frac{59-32}{64-32} = 1-\frac{27}{32} = 0.15625

(B) Probability that student completes the quiz in a time between 37 and 43 minutes = P(37 <= X <= 43)  = P(X <= 43) - P(X < 37)

    P(X <= 43) = \frac{43-32}{64-32} = \frac{11}{32} = 0.34375

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    P(37 <= X <= 43) = 0.34375 - 0.15625 = 0.1875

(C) Probability that student complete the quiz in exactly 44.74 minutes

     = P(X = 44.74)

The above probability can't be computed because this is a continuous distribution and it can't give point wise probability.

3 0
2 years ago
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