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pogonyaev
3 years ago
13

3(2x-4)=4(4x-1) can someone please help ?

Mathematics
1 answer:
Romashka-Z-Leto [24]3 years ago
4 0

Answer:

x=-4/5

Step-by-step explanation:

3(2x-4)=4(4x-1)

6x-12=16x-4

-10x=8

x=-8/10

x=-4/5

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5x1+1x(1/10)+3x(1/100)+6x(1/1000) in standard form
Viefleur [7K]
Answer: 642/125

Explanation:

5x1+1(1/10)+3(1/100)+6(1/1000)
= 5 + 1/10 + 3/100 + 6/1000
= 5000/1000 + 100/1000 + 30/1000 + 6/1000
= 5136/1000
= 642/125
6 0
3 years ago
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the diagram shows a sector of a circle with centre o. the radius of the circle is 8 cm. the point p on oa is such that 2op=3qr a
mylen [45]
It would be c by process of elimenation
6 0
3 years ago
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astraxan [27]

Answer: yes.

Step-by-step explanation:

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3 years ago
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A random sample of 625 10-ounce cans of fruit nectar is drawn from among all cans produced in a run. Prior experience has shown
diamong [38]

Answer:

10.57% probability that the mean contents of the 625 sample cans is less than 9.995 ounces.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

Normal probability distribution

Problems of normally distributed samples can be 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.

In this problem, we have that:

\mu = 10, \sigma = 0.1, n = 625, s = \frac{0.1}{\sqrt{625}} = 0.004

What is the probability that the mean contents of the 625 sample cans is less than 9.995 ounces?

This is the pvalue of Z when X = 9.995. So

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

Z = \frac{9.995 - 10}{0.004}

Z = -1.25

Z = -1.25 has a pvalue of 0.1057

So there is a 10.57% probability that the mean contents of the 625 sample cans is less than 9.995 ounces.

5 0
3 years ago
What is the lowest common denomimator of 14 and 26
Ludmilka [50]
Your answer is 182 :))
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3 years ago
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