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arlik [135]
3 years ago
6

My FRIENDLY zoon meet

SAT
2 answers:
timama [110]3 years ago
8 0
Ok thanks for the points
ELEN [110]3 years ago
3 0

Answer:

Mk

Explanation:

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A technology store sells tablets and
IRINA_888 [86]

The combination that could be the total sales would be 360 tablets and 180 computers.

<h3>Total sales</h3>

Over 300 total sales were made in January

100 tablets and 20 computers were sold in February.

This means that total sales would be: (300+) 100 + 20 = 420+

Only options B and C have 420+ total sales.

But, there are more tablet sales than computers.

Thus, we are left with only option B

More on total sales can be found here: brainly.com/question/14119360

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2 years ago
How far, in kilometers, is it from Cornell University in Ithaca, NY to SUNY Albany, in Albany, NY?
oksano4ka [1.4K]

Answer:

288.07 kilometers

Explanation:

4 0
3 years ago
In the Aeneid, how does the poet Virgil connect the story of Aeneas to the older tradition of Romulus?
Bogdan [553]

Answer:

He is his ancestor

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im almost postive thats the answer

8 0
2 years ago
Which of the following would be a personal responsiblity in the united states ?
Nezavi [6.7K]
Paying rent is a personal responsibility
4 0
3 years ago
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
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