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3 years ago

Round 5,112 to the nearest thossand

Mathematics

2 answers:

REY [17]3 years ago

7 0

Here is your answer:

5 = 5

So it rounds up one.

5+1=6

Therefore the answer is "6,000."

In these types of questions you find the place value which is five since how its five-thousand, and if the place value is equal or greater than 5 it rounds up so since 5 is equal to 5 it rounds up to 6. Which would equal to 6,000.

Hope this helps!

Aleonysh [2.5K]3 years ago

5 0

5,112 = 5,000 round to the nearest thousand

Hope it helps

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I need to know how to multiply 2/9×5/7

lord [1]

Answer: 10/63

Step-by-step explanation: To multiply fractions, you just time's the top numbers and then the bottom numbers by themselves.

For instance: 2 x 5 = 10

9 x 7 = 63

and there is your answer.

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2 years ago

Calvin evaluated -2/3 *5 1/6 using the steps below.

matrenka [14]

For this case we have to evaluate the following expression,

$- \frac {2} {3} * 5 \frac {1} {6}$

We must follow the steps below:

We convert the mixed number into a fraction:

$- \frac {2} {3} * \frac {6 * 5 + 1} {6} =\\- \frac {2} {3} * \frac {31} {6} =$

We multiply the fractions, taking into account that:

$- * + = -\\- \frac {2 * 31} {3 * 6} =\\- \frac {62} {18} =$

We simplify:

$- \frac {31} {9}$

We convert to mixed number:

$-3 \frac {4} {9}$

Answer:

$-3 \frac {4} {9}$

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3 years ago

What is the answer for 7/10-1/2 in simplest form

Musya8 [376]

Problem: 7/10 - 1/2
1/2 = x/10 Find the common denominator
1/2 = 5/10
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3 years ago

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Which of the following is a characteristic of hyperbolic geometry?

Lapatulllka [165]

Answer:

Step-by-step explanation:

Hyperbolic geometry is defined as a non-Euclidean geometry.

(invalidating the fifth postulate of Euclid's five fundamental postulates)

Choice B and D can be eliminated because this has nothing to do with perpendicular lines.

Choice C should be eliminated as well since that's exactly the fifth postulate of Euclid's five fundamental postulates

We are left with A by the process of elimination

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3 years ago

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In 2008 the Better Business Bureau settled 75% of complaints they received (USA Today, March 2, 2009). Suppose you have been hir

Ede4ka [16]

Answer:

Explained below.

Step-by-step explanation:

According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.

The mean of this sampling distribution of sample proportion is:

$\mu_{\hat p}= p$

The standard deviation of this sampling distribution of sample proportion is:

$\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}$

(a)

The sample selected is of size <em>n</em> = 450 > 30.

Then according to the central limit theorem the sampling distribution of sample proportion is normally distributed.

The mean and standard deviation are:

$\mu_{\hat p}=p=0.75\\\\\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.75(1-0.75)}{450}}=0.0204$

So, the sampling distribution of sample proportion is $\hat p\sim N(0.75,0.0204^{2})$ .

(b)

Compute the probability that the sample proportion will be within 0.04 of the population proportion as follows:

$P(p-0.04$

$=P(-1.96$

Thus, the probability that the sample proportion will be within 0.04 of the population proportion is 0.95.

(c)

The sample selected is of size <em>n</em> = 200 > 30.

Then according to the central limit theorem the sampling distribution of sample proportion is normally distributed.

The mean and standard deviation are:

$\mu_{\hat p}=p=0.75\\\\\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.75(1-0.75)}{200}}=0.0306$

So, the sampling distribution of sample proportion is $\hat p\sim N(0.75,0.0306^{2})$ .

(d)

Compute the probability that the sample proportion will be within 0.04 of the population proportion as follows:

$P(p-0.04$

$=P(-1.31$

Thus, the probability that the sample proportion will be within 0.04 of the population proportion is 0.81.

(e)

The probability that the sample proportion will be within 0.04 of the population proportion if the sample size is 450 is 0.95.

And the probability that the sample proportion will be within 0.04 of the population proportion if the sample size is 200 is 0.81.

So, there is a gain in precision on increasing the sample size.

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3 years ago