Which model best shows the movement of oxygen during photosynthesis?

What evidence is there that gravity exists outside of what they have explored

muminat

There is no gravity in space.

gravity= things falling to the ground

no gravity= things that float above ground, like are planets.

7 0

3 years ago

Multiple choice questions

anzhelika [568]

Answer:

The answer for "which one is bridge animal?" is 4. I think it is i and ii not ii and ii.

The answer for the homologous organ is forelimb of seal.

The vestigial organ is appendix.

6 0

2 years ago

The discussion of the ""greatest of poets and philosophers"" in the third paragraph suggests that the author believes the audien

wel

There a lot of great poets and philosophers in the world today. The author believes the audience of the speech will recognize an implicit reference to Shakespeare and agree about his importance.

There have been a lot of English literature. One of the greatest poet of all time is William Shakespeare.

He was known for his famous quote where He said that All the world, is a stage, and all the men and women merely players.

The author recognize the importance of Shakespeare and his impressive work of literature.

Learn more from

brainly.com/question/20078803

4 0

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

Canadians

Sample size = 50
Mean = 4.6
Standard deviation = 2.9

Americans

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