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3 years ago

How many more numbers to get from 675 to 800

Mathematics

2 answers:

Nookie1986 [14]3 years ago

6 0

Answer:

125

Step-by-step explanation:

675+1+1+1+1+1+1+1

lol just kidding

If you subtract 800-675, you would get 125.

Also if you added 125 to 675, you would get 800.

So, there you have it :)

earnstyle [38]3 years ago

3 0

Answer:

Subtract 675 by 800, and you will get 125

To get from 675 to 800, you will add 125 to 675

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One positive number exceeds another by 2, and their product is 80. Find the numbers

katen-ka-za [31]

Answer:

The Answer is: The first number is 10 and the second number is 8.

Step-by-step explanation:

Let f = first number and s = second number.

The first number is 2 larger than the second:

f = n + 2

The numbers times each other is 80:

f * n = 80

Substitute the value of f, which is (n + 2):

n(n + 2) = 80

n^2 + 2n = 80

n^2 + 2n - 80 = 0

(n + 10)(n - 8) = 0

n^2 + 10n - 8n - 80 = 0, so the first number is 10 and the second one is 8.

Another method, just from thinking about it:

factor 80:

8 * 10, is the first factoring I thought of. I then noted that the difference between the two is 2 and if you multiply them they equal 80.

Hope this helps! Have an Awesome Day!! :-)

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Compare negative one and six tenths repeating and negative five thirds using symbols <, >, or =.

sergey [27]

Answer:

Step-by-step explanation:

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2 years ago

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In a recent poll, 370 people were asked if they liked dogs, and 7% said they did. Find the margin of error of this poll, at the

Dennis_Churaev [7]

Answer:

$ME=1.64\sqrt{\frac{0.07(1-0.07)}{370}}=0.0218$

Step-by-step explanation:

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

$p$ represent the real population proportion of interest

$\hat p=0.07$ represent the estimated proportion for the sample

n=370 is the sample size required (variable of interest)

$z$ represent the critical value for the margin of error

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})$

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 90% of confidence, our significance level would be given by $\alpha=1-0.90=0.10$ and $\alpha/2 =0.05$ . And the critical value would be given by: