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ss7ja [257]
3 years ago
15

Biologists conducted a study to investigate the flying velocity of mosquitoes both before and after feeding. The following scatt

erplot shows the velocity after feeding, in centimeters per second, and the proportional increase in weight after feeding relative to the weight before feeding. For example, 0.5 indicates a 50 percent weight gain after feeding. One point on the graph is labeled M.
Mathematics
1 answer:
Lesechka [4]3 years ago
4 0

Answer:

It represents a mosquito that flew very fast after feeding relative to all other mosquitoes.

Step-by-step explanation:

The point is unusual because the velocity of the mosquito is substantially greater than all other velocities and is probably an outlier.

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garik1379 [7]

Answer:11

Step-by-step explanation:  Bases of trapezoid : 11 meters and 14 meters

height of trapezoid : 10 meters

Area of trapezoid = (sum of bases / 2) height

A = (11m + 14m)/2  * 10m

A = 25m / 2 * 10m

A = 12.5m * 10m

A = 125m²

8 0
3 years ago
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Label each pointon the number line with the correct value
ankoles [38]
I converted everything into decimals and went from there.

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Nate is 4 years older than 2 times his brother’s age. Write a rule that represents Nate’s age “n” as a function of his brother’s
IRINA_888 [86]

Answer:

n = 2b + 4

Step-by-step explanation:

4 years older = +4

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3 years ago
The brand manager for a brand toothpaste must plan a campaign designed to increase brand recognition. He wants to first determin
bulgar [2K]

We need to find out how many adults must the brand manager survey in order to be 90% confident that his estimate is within five percentage points of the true population percentage.

From the given data we know that our confidence level is 90%. From Standard Normal Table we know that the critical level at 90% confidence level is 1.645. In other words, Z_{Critical}=1.645.

We also know that E=5% or E=0.05

Also, since, \hat{p} is not given, we will assume that \hat{p}=0.5. This is because, the formula that we use will have \hat{p}(1-\hat{p}) in the expression and that will be maximum only when \hat{p}=0.5. (For any other value of \hat{p}, we will get a value less than 0.25. For example if, \hat{p} is 0.4, then 1-\hat{p}=0.6 and thus, \hat{p}(1-\hat{p})=0.24.).

We will now use the formula

n=(\frac{Z_{Critical}}{E})^2\hat{p}(1-\hat{p})

We will now substitute all the data that we have and we will get

n=(\frac{1.645}{0.05})^2\times0.5(1-0.5)

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which can approximated to n=271.

So, the brand manager needs a sample size of 271

3 0
3 years ago
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