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olya-2409 [2.1K]
3 years ago
8

Write 1.875 as a mixed number.

Mathematics
2 answers:
BartSMP [9]3 years ago
4 0
Convert the decimal number to a fraction by placing the decimal number over a power of ten. Since there are
3 numbers to the right of the decimal point, place the decimal number over
10^3 (1000). Next, add the whole number to the left of the decimal.

1 875/1000

Reduce the fractional part of the mixed number.

1 7/8
Andrej [43]3 years ago
3 0

Answer:

1  7/8

Step-by-step explanation:

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IF a 50 pound bag costs $6.36, which expression shows how much 1 pound costs?
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Answer:

6.36 Divided by 50 eqauls  0.1272

Step-by-step explanation:

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How do you find the area of this problem ​
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Step-by-step explanation:

You would multiply each of the sides to get the final answer of 240 (:

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HELP ME OUT PLEASE!!!!
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(3,-4)

Step-by-step explanation:

There is a graphing calculator called desmos that can help you answer questions like this, but, if you don't want to use that, you can just make a graph and imagine the transformation. Remember, when you reflect something over an axis, it is like you are folding the graph along the axis and your new point will be on the other side.

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2 years ago
Read 2 more answers
A researcher compares the effectiveness of two different instructional methods for teaching electronics. A sample of 138 student
yan [13]

Answer:

The 98% confidence interval for the true difference between testing averages for students using Method 1 and students using Method 2 is (-8.04, 0.84).

Step-by-step explanation:

The (1 - <em>α</em>)% confidence interval for the difference between population means is:

CI=(\bar x_{1}-\bar x_{2})\pm z_{\alpha/2}\times \sqrt{\frac{\sigma^{2}_{1}}{n_{1}}+\frac{\sigma^{2}_{2}}{n_{2}}}

The information provided is as follows:

n_{1}= 138\\n_{2}=156\\\bar x_{1}=61\\\bar x_{2}=64.6\\\sigma_{1}=18.53\\\sigma_{2}=13.43

The critical value of <em>z</em> for 98% confidence level is,

z_{\alpha/2}=z_{0.02/2}=2.326

Compute the 98% confidence interval for the true difference between testing averages for students using Method 1 and students using Method 2 as follows:

CI=(\bar x_{1}-\bar x_{2})\pm z_{\alpha/2}\times \sqrt{\frac{\sigma^{2}_{1}}{n_{1}}+\frac{\sigma^{2}_{2}}{n_{2}}}

     =(61-64.6)\pm 2.326\times\sqrt{\frac{(18.53)^{2}}{138}+\frac{(13.43)^{2}}{156}}\\\\=-3.6\pm 4.4404\\\\=(-8.0404, 0.8404)\\\\\approx (-8.04, 0.84)

Thus, the 98% confidence interval for the true difference between testing averages for students using Method 1 and students using Method 2 is (-8.04, 0.84).

5 0
3 years ago
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