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vladimir2022 [97]
1 year 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]1 year 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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Answer:

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Step-by-step explanation:

Checked by my teacher. hope this part helps. Will post the rest soon.

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You work two jobs. You earn $11.90 per hour as a salesperson and $10.50 per hour stocking shelves. Your combined earnings this m
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1. What is m∠CAD?
bulgar [2K]
< CAD = 100....if u add < ACB + < CBA u get < CAD
================
< DAB = 125 and < ACB = 30

if DAB = 125.....then BAC = 180 - 125 = 55
and all 3 interior angles of a triangle = 180
< BAC + < ACB + < ABC = 180
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​You'd like to estimate the proportion of the 12,152 full-time undergraduate students at a university who are foreign students.
Minchanka [31]

Answer:

a) The data distribution consists of ( 7 )​1's (denoting a foreign ​student) and ( 43 )0's (denoting a student from the​ U.S.).

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c) The mean is ( 0.06 )

The standard deviation is ( 0.0336 )

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Step-by-step explanation:

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1 year ago
The paired data below consist of the temperatures on randomly chosen days and the amount a certain kind of plant grew (in millim
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Answer:

Step-by-step explanation:

Given is a paired data which consist of temperatures (X in mm) and growth

We have to find the linear correlation i.e. the measure of association between these two variables.

x y xy x^2 y^2

     

62 36 2232 3844 1296

76 39 2964 5776 1521

50 50 2500 2500 2500

51 13 663 2601 169

71 33 2343 5041 1089

46 33 1518 2116 1089

51 17 867 2601 289

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cov 33.88888889    

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sx *sy      

r 0.195529176    

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