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Leni [432]
2 years ago
13

Latoya's mom makes her a birthday cake in the shape of an "l". latoya loves frosting, so her mom covers the entire outside of th

e cake in frosting, even the bottom of the cake. how much space does latoya's mom cover in frosting?
SAT
1 answer:
Butoxors [25]2 years ago
3 0
Latoya's mom covers the entire outside of the cake with frosting.
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During the first half of the 20th century, the theory of plate tectonics was developed. Evidence supporting this theory included
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GPS monitoring of plate speeds and movements.

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8. What are all possible values of x if
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(D)

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Drag the labels from the left to their correct locations in the concept map on the right. allele frequenices
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The labels are not found here but allele frequencies depend on the number of different gene variants in a given population.

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

An allele is a given gene variant received from parents, which is found in a specific gene locus in a chromosome.

Allele frequency makes reference to the number of that a given gene variant or allele exhibits in a population or sample.

In conclusion, the labels are not found here but allele frequencies depend on the number of different gene variants in a given population.

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To compare the average amount of time that canadians and americans spend commuting, a researcher collects a sample of canadians
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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

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