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2 years ago

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Which of the following set of quantum numbers are possible for an electron in an atom

1 answer:

TEA [102]2 years ago

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Asides from a student I'd what is another card a college student can use to obtain discounts

VashaNatasha [74]

Aside from the student id, the student advantage discount card can be use by students to have discounts and can save money during college. The Student Advantage discount card offers discounts for retail,travel and entertainment with a membership fee annually.

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3 years ago

Which statements describe processes involved in the accretion of planetesimals and protoplanets? Check all that apply. Both invo

maria [59]

Answer:

the answers are

(2)Both involve the formation of solid particles from nebular materials

And

(4)Both involve the trapping of gases and the clumping of masses of matter

Explanation:

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3 years ago

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Which of these questions is most likely to result in response bias

jekas [21]

I found some possible answers:

A. “what do you think these cookies?”

B. “What is your opinion of these cookies?”

C. “How do you feel about these cookies?”

D. “How do you like these delicious cookies?”

Option D is the correct answer because the word "delicious" could effect the person's answer to benefit the cookies.

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3 years ago

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Answer:

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3 years ago

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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

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2 years ago