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Nezavi [6.7K]
2 years ago
14

The United States and China can both produce cars and computers. If both countries decide to specialize and trade, which of the

following must be true
SAT
1 answer:
borishaifa [10]2 years ago
3 0

The true statement is that the opportunity cost of producing computers is lower for China than it is for United States must be true.

<h3>What Is Opportunity Cost?</h3>

Opportunity costs is known to be the specific benefits that a person, investor, or business overlook on if choosing one alternative over another.

Note that in the case above, The true statement is that the opportunity cost of producing computers is lower for China than it is for United States must be true because China are more technologically inclined.

Learn more about opportunity cost from

brainly.com/question/1549591

#SPJ1

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Answer: Algonquian

Explanation:The Algonquian civilization relied heavily on hunting and fishing to gather food.

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a user is implementing security on a small office network. which two actions would provide the minimum security requirements for
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Implementation of firewall

installation of anti-virus software

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Which of these solutions has the highest freezing point?
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A.  

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3 years ago
Read 2 more answers
To compare the average amount of time that canadians and americans spend commuting, a researcher collects a sample of canadians
yKpoI14uk [10]

The standard error of the difference of sample means is 0.444

From the complete question, we have the following parameters

<u>Canadians</u>

  • Sample size = 50
  • Mean = 4.6
  • Standard deviation = 2.9

<u>Americans</u>

  • Sample size = 60
  • Mean = 5.2
  • Standard deviation = 1.3

The standard error of a sample is the quotient of the standard deviation and the square root of the sample size.

This is represented as:

SE = \frac{\sigma}{\sqrt n}

The standard error of the Canadian sample is:

SE_1 = \frac{2.9}{\sqrt{50}}

So, we have:

SE_1 = 0.41

The standard error of the American sample is:

SE_2 = \frac{1.3}{\sqrt{60}}

So, we have:

SE_2 = 0.17

The standard error of the difference of sample means is then calculated as:

SE= \sqrt{SE_1^2 + SE_2^2}

This gives

SE= \sqrt{0.41^2 + 0.17^2}

SE= \sqrt{0.197}

Take square roots

SE= 0.444

Hence, the standard error of the difference of sample means is 0.444

Read more about standard errors at:

brainly.com/question/6851971

5 0
2 years ago
At a construction site, a builder plans to cut down an 8-foot-by-9-foot piece of plywood. She plans to discard any pieces that s
FromTheMoon [43]

Answer:

30ft²

Explanation:

The area of the plywood that she has:

8 ⋅ 9

=72ft²

The area of the plywood she cut

7 ⋅ 6

=42ft²

The area discarded should be:

72ft² - 42ft²

= 30ft²

3 0
3 years ago
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