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sergey [27]
2 years ago
11

Simplify; (√3 + √2) (√3 + √2)

Mathematics
2 answers:
Marat540 [252]2 years ago
6 0

Answer:

5 + 2√6 or 9.898979

Step-by-step explanation:

(√3 + √2) (√3 + √2)

= 5 + 2√6

decimal = 9.898979

vichka [17]2 years ago
3 0

Answer:

I’ll put a picture because I can’t like write down the answer…. So yeah.

Step-by-step explanation:

1) expand expression: (sqrt3 + sqrt2)^2

Then calculate: 3 + 2sqrt6 + 2

Andddd: 5 + 2sqrt6

* sqrt: square root

I hope this helps! Good luck :)

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The Yert family hires a landscaping company for 30 weeks. There are two companies to choose from. Green Lawns charges $1 for the
Nikolay [14]

Answer:

$133.77

I am pretty sure that this is the answer.

Step-by-step explanation:

1 + (1.25)^29 = 646.23

200 + (20 x 29) = 780

780 - 646.23 = 133.77

Tell me if I am wrong.

If right, please give me brainliest.

6 0
3 years ago
HHHHHHHHHHEEEEEEEEELLLLLLLLLLLPPPPPPPPPP
Nastasia [14]

Answer:

I'm pretty sure it is 18

Step-by-step explanation:

Since the shape is not a perfect square you can count how many blocks are shaded. However, the half shaded blocks, since they are half shaded you will need 2 half shaded blocks to make one block

5 0
3 years ago
What is the answer to 5+5=
HACTEHA [7]
The answer to 5+5 is 10
3 0
3 years ago
Read 2 more answers
Amber determined that the expression -1/2 divided by -41/15 is equivalent to 15/82. Which statement describes the process Amber
ddd [48]
Amber could have used cross multiplication.

Have a great day!!!!
5 0
3 years ago
Read 2 more answers
The amount of coffee that a filling machine puts into an 8-ounce jar is normally distributed with a mean of 8.2 ounces and a sta
nordsb [41]

Answer:

73.30% probability that the sampling error made in estimating the mean amount of coffee for all 8-ounce jars by the mean of a random sample of 100 jars will be at most 0.02 ounce

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 normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes 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.

In this problem, we have that:

\mu = 8.2, \sigma = 0.18, n = 100, s = \frac{0.18}{\sqrt{100}} = 0.018

What is the probability that the sampling error made in estimating the mean amount of coffee for all 8-ounce jars by the mean of a random sample of 100 jars will be at most 0.02 ounce?

This is the pvalue of Z when X = 8.2 + 0.02 = 8.22 subtracted by the pvalue of Z when X = 8.2 - 0.02 = 8.18. So

X = 8.22

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

By the Central Limit Theorem

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

Z = \frac{8.22 - 8.2}{0.018}

Z = 1.11

Z = 1.11 has a pvalue of 0.8665

X = 8.18

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

Z = \frac{8.18 - 8.2}{0.018}

Z = -1.11

Z = -1.11 has a pvalue of 0.1335

0.8665 - 0.1335 = 0.7330

73.30% probability that the sampling error made in estimating the mean amount of coffee for all 8-ounce jars by the mean of a random sample of 100 jars will be at most 0.02 ounce

8 0
3 years ago
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