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siniylev [52]
3 years ago
14

Why do teachers think that they are our parents? when they tell us what to do.

SAT
2 answers:
steposvetlana [31]3 years ago
7 0

Answer:

i dont know

Explanation:

guapka [62]3 years ago
5 0

Answer:

They are part of authority and we should respect them unless we ask to go to the bath room and they say I Don't Know can your

Explanation:

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The setting sun in the painting and the gathering storm in the poem create a feeling of (5 points) tranquility despair hope stab
Nimfa-mama [501]

Based on the poem "The Lady of Shalott", we can infer that the setting sun in the painting and the gathering storm created a feeling of: B. despair.

<h3>What is an inference?</h3>

An inference can be defined as a process through which a reader deduces the meaning of a word and information that are associated with a passage or poem, especially through induction.

Based on the poem "The Lady of Shalott", we can infer and logically conclude that the setting sun in the painting and the gathering storm created a feeling of despair.

Read more on despair here: brainly.com/question/2274139

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Quality of life can include mental, as well as physical, activity level.
miss Akunina [59]
True. Mental health should be factored into any quality of life
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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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Bill was injured on the job and hospitalized for several months
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Answer:

WHAT HAPPENED TO BILL AFTER THAT???

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