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nadya68 [22]
2 years ago
10

How do you write 4.293 in expanded form?

Mathematics
1 answer:
Anika [276]2 years ago
3 0
4.000 plus 200 plus 90 plus 3
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Whats 1784 rounded off
lukranit [14]

Answer:

1780 is the best answer

Step-by-step explanation:

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2 years ago
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Help on this question please. What is the perimeter of ABC?
mestny [16]

Answer:

Step-by-step explanation

5x2=10

3x2=6

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the answer would be 20

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3 years ago
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In a sample of eight whitefish caught in Yellowknife Bay, the mean arsenic concentration in the liver was 0.32 mg/kg, with a sta
Advocard [28]

Answer:

The 95% confidence interval for the concentration in whitefish found in Yellowknife Bay is (0.2698 mg/kg, 0.3702 mg/kg).

Step-by-step explanation:

We have the standard deviation for the sample, which means that the t-distribution is used to solve this question.

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 8 - 1 = 7

95% confidence interval

Now, we have to find a value of T, which is found looking at the t table, with 7 degrees of freedom(y-axis) and a confidence level of 1 - \frac{1 - 0.95}{2} = 0.975. So we have T = 2.3246

The margin of error is:

M = T\frac{s}{\sqrt{n}} = 2.3646\frac{0.06}{\sqrt{8}} = 0.0502

In which s is the standard deviation of the sample and n is the size of the sample.

The lower end of the interval is the sample mean subtracted by M. So it is 0.32 - 0.0502 = 0.2698 mg/kg

The upper end of the interval is the sample mean added to M. So it is 0.32 + 0.0502 = 0.3702 mg/kg

The 95% confidence interval for the concentration in whitefish found in Yellowknife Bay is (0.2698 mg/kg, 0.3702 mg/kg).

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2 years ago
How can you find the answer to 5 x 1/3 by fining the answer to 5 x 3
blondinia [14]

Answer:

5 x 1/3 = 5/3 or 1 2/3

It is not possible to find the answer from 5 x 3 to 5 x 1/3

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3 years ago
Ted and Meg have each drawn a line on the scatter plot shown below:
expeople1 [14]

Answer:

A.)Line P, because it is closest to most data points

Step-by-step explanation:

The line of best fit is a line which best represents the data and the data points are closely related to it.

It is also known as a trend line.

The line of best fit may pass through, some , none or all of the data points.

Also if the scatter plot does not pass through all the data point then the magnitude of positive residual must be approximately equal to the magnitude of negative residual of the data points.

Hence, by looking at the scatter plot we see that all the data points lie above Line R.

Hence, the Line R will not be a line of best fit.

But all the data points lie close to the line P , hence it act as a line of best fit.

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