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4 years ago

Round 374,462,894 to the nearest thousand. Explain each step of the process.

Mathematics

2 answers:

Phoenix [80]4 years ago

4 0

Answer:

374,463,000

Step-by-step explanation:

374,462,894

Identify the thousands spot and locate the digit next to it.

374,462,894

If the number is greater than or equal to 5, we round up. If the number is less than or equal to 4, we round down.

8 is greater than or equal to 5. We round up.

374,462,894 ≈ 374,463,000

Hope this helps.

monitta4 years ago

4 0

Answer:

[See Below]

Step-by-step explanation:

✦ The number in the thousandth place is $2$ .

✧ To round, look at the number to the right, in this case it's $8$ .

○ If the number is greater than or equal to $5$ , then round up.

○ If the number is less than $5$ , round down.

✦ So then we would change the $2$ to a $3$ .

✦ Then rewrite the number:

✧ $374463000$

~Hope this helps Mate. If you need anything feel free to message me.

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The ac is a leg of the right triangle True False

Vinil7 [7]

Answer:

False

Step-by-step:

The hypotenuse of the triangle is the side opposite to the right angle. The legs are the other two sides of the triangle. Since AC is on the opposite side of the right angle, it is the hypotenuse and therefore not a leg. Hope this helps!

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3 years ago

Classify each graph as increasing, decreasing, constant

posledela

Answer:

3. increasing

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Step-by-step explanation:

well for graph 3 the values are increasing

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2 years ago

Suppose that the walking step lengths of adult males are normally distributed with a mean of 2.5 feet and a standard deviation o

Mumz [18]

Answer:

0% probability that the mean of the sample taken is less than 2.2 feet.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .