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10 days ago

What is 65, 124 rounded to the nearest thousand

Mathematics

2 answers:

AnnZ [11.9K]10 days ago

7 0

65,000. I'm quite certain because a 1 wouldn't be sufficient to shift the 5 higher.

Leona [12.1K]10 days ago

5 0

The result is 65,000. The number 65,124 has its thousandths digit marked. This digit will decide the fate of the 5; if this number is 0, 1, 2, 3, or 4, the thousandths digit remains unchanged, but if it's 5, 6, 7, 8, or 9, the thousandths place increases by one.

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At what rate would you need to invest $12000 and make $2880 after 8 years?

PIT_PIT [11962]

Answer:

$3\%$

Step-by-step explanation:

We start with the fact that

The formula for simple interest is represented by

$I=P(rt)$

where:

I denotes the Final Interest Value

P indicates the Principal amount to be invested

r specifies the interest rate

t refers to the Number of Time Periods

For this scenario, we have

$t=8\ years\\ P=\$12,000\\I=\$2,880\\r=?$

We can substitute these values into the formula mentioned above

$2,880=12,000(8r)$

Next, we solve for t

$2,880=96,000(r)$

$r=2,880/96,000$

$r=0.03$

Convert to a percentage format

$0.03*100=3\%$

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1 month ago

Amy is 1 year older than Ben. The sum of their ages is greater than 33 and less than 45 Find all possible ages of Ben

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Answer:

17, 18, 19, 20, 21

Step-by-step explanation:

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11 days ago

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Response:

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1 month ago

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In a port, the median weight of a container is 4,700 lbs, with a standard deviation of 500 pounds. 14% of the containers weigh m

babunello [11358]

A normal distribution is most effective when dealing with a substantial sample size. Without knowing how many containers there are, it's challenging to determine if it’s suitable for modeling the container weights.

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Tesla wanted to determine the average miles per kWh that their vehicles get across all models and variations. They took a sample

lawyer [12154]

Answer:

$\mu_{\bar x} = \mu = E(X) =30KWh$

$\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}=\frac{3}{\sqrt{100}}=0.3$

Step-by-step explanation:

Previous concepts

Normal distribution, is defined as a symmetric "probability distribution centered around the mean, indicating that values near the mean are more common than those further away".

The Z-score measures a value's relation to the mean of a set of values, displayed in terms of how many standard deviations away it is from that mean.

According to the central limit theorem, "with a population having mean μ and standard deviation σ, if we draw sufficient random samples from this population with replacement, the means of those samples will resemble a normal distribution, regardless of the original population's shape, as long as the sample size is large enough".

Solution to the problem

In this scenario, we select a sample size of n = 100

The central limit theorem informs us that the distribution of the sample mean $\bar X$ is defined by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

Thus, the mean for the sample would be:

$\mu_{\bar x} = \mu = E(X) =30KWh$

And the standard deviation would be:

$\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}=\frac{3}{\sqrt{100}}=0.3$

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23 days ago