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2 years ago

Yeet but why lololololololol (i was running out of things to say)

SAT

2 answers:

sattari [20]2 years ago

5 0

Answer:

yes because there are no pigs on the moon.

Explanation:

taurus [48]2 years ago

4 0

Answer:

lolollololoool

Explanation:

haghhaguagghaigaggagag

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Which of the following did Kant determine is essential for ethics

Talja [164]

The thing which Kant determined was essential for ethics is to be truthful and to do unto others as you would have them do unto you.

<h3>What is Ethics?</h3>

This refers to the set of values that are used to guide a person in doing the right thing in any given circumstance.

Hence, we can see that Immanuel Kant, a philosopher was of the opinion that for ethics to thrive, then people must always be truthful and also to follow the golden rule.

Read more about ethics here:

brainly.com/question/13383200

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2 years ago

I need help please.

EleoNora [17]

Answer:

1.c

2.c

3.b

4.a

Explanation:

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3 years ago

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How many bottles of humbling R insulin would be dispensed for a 90 days supply if the arc reads: Inject 10 units SC wan, 8 unit

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B I think it’s b but I’m not sure

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2 years ago

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Which element below is least reactive? Which element below must be stored in oil because of its reactivity?

olganol [36]

Answer:

What are the elements to be stored?

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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