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2 years ago

Omg im so stupid someone sole this asap please!!!!!!!! 6/2(1+2)

SAT

2 answers:

const2013 [10]2 years ago

7 0

Answer:

Explanation:

6/2(1+2)

if 6/2 is dividing then:

(1+2=3)

6/2=3

3(3)

3x3=9

UkoKoshka [18]2 years ago

3 0

Answer:

Yeah the answer is 9. :l But don't feel bad. Everyone makes mistakes. :D

Explanation:

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Solve for the unknown number in the equation 37 − 16 = ________ − 12

olganol [36]

Answer:

Explanation:

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2 years ago

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The most complex level of culture is the culture trait. True or False

taurus [48]

Culture trait : A culture trait is the learned system of beliefs, values, traditions, symbols and meanings that are passed from one generation to another within a specific community of people.

The least unit of culture is called the culture trait.

Hence the answer is FALSE.

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2 years ago

The highest amount a firm can charge for its product is most directly affected by.

Anni [7]

Answer:

a. expected retaliation from competitors.b. the cost of substitute products.c. variable costs of production.d. customers' high switching costs.

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2 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