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2 years ago

Pleaaase helppp i will mark brainly

Mathematics

1 answer:

docker41 [41]2 years ago

6 0

Answer:

Step-by-step explanation

since we have a right triangle then we can apply the Pythagorean theorem:

x² + 8² =10²

⇒ x² = 10² - 8²

⇒ x² = 36

⇒ x² = 6²

⇒ x = 6 (because x is positive)

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The distance from Mercury to the Sun is 28.5 million miles. The distance from Neptune from the Sun is 2.8 billion miles. Express

Mnenie [13.5K]

2.79715 times 10 to the tenth power

8 0

2 years ago

Please help me in this question

weqwewe [10]

Question is: how many 84s will fit in 5376? Let's think about some easy multiples:

84 * 100 = 8400, so it's too big
84 * 10 = 840, so it might work

84 | 5376 | 10
-840

84 | 4536 | 10
-840

84 | 3696 | 10
-840

84 | 2856 | 10
-840

84 | 2016 | 10
-840

84 | 1176 | 10
-840

84 | 336

We can't fit any more 840 in 336, so we check how many 84s are in 336 and what's the remainder:

84 | 336 | 4
- 336

So there's no remainder. Now we add all the partial quotients to get the final result:

10 + 10 + 10 + 10 + 10 + 10 + 4 = <u>64

</u>It's correct, I checked it with calculator. I just hope you'll be able to read something from that, it's quite difficult to do partial dividing with no pencil and paper :)

3 0

2 years ago

A manufacturer knows that their items have a normally distributed length, with a mean of 15.4 inches, and standard deviation of

Masteriza [31]

Answer:

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

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 $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 15.4 inches, and standard deviation of 3.5 inches.

This means that $\mu = 15.4, \sigma = 3.5$

16 items are chosen at random

This means that $n = 16, s = \frac{3.5}{\sqrt{16}} = 0.875$

What is the probability that their mean length is less than 16.8 inches?

This is the p-value of Z when X = 16.8. So

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

By the Central Limit Theorem

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

$Z = \frac{16.8 - 15.4}{0.875}$

$Z = 1.6$

$Z = 1.6$ has a p-value of 0.9452.

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

5 0

2 years ago

Help me please! I really need help

Brums [2.3K]

If you looked it up online you could find it. look on safari

8 0

2 years ago

Read 2 more answers

You are currently paying rent every year for your restaurant. You still have a contract that will last 2 more years. Starting to

Andreas93 [3]

The amount to be paid in rent after 2 years if the rent as of now is $3,000 will be; $3,213.675

The question allows that we choose the amount being paid as rent as of now.

Let the rent paid as of now be; $3,000

In essence; after the first year; the amount increases by 3.5% to become;

1.035 × $3,000

= $3,105.

After the second year; we have;

1.035 × $3,105

= $3,213.675

Ultimately; the amount to be paid after 2 years will be; $3,213.675.

When given the opportunity to change rent contracts;

A situation that will be beneficial would be a 3.5% reduction in rent per year
A situation that will not be beneficial would be a 7% increase in rent per year.