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PtichkaEL [24]
3 years ago
11

If 52 is 130% of a number, is the number greater then or less the 52? Explain

Mathematics
2 answers:
Varvara68 [4.7K]3 years ago
6 0
The number must be less than 52 as is everything over 101%.

A percentage is just a fraction where the number to the left of the sign, let's say 'x', is placed in the numerator above 100 (example: x/100) = x%. 

52 / 130% = 52 / 1.3 = 40
olga_2 [115]3 years ago
3 0
X= a number

If 52 is 130% of a number, then we multiply the unknown number by 130%.

x * 130%= 52
convert % to decimal (130%÷100)

1.3x= 52
divide both sides by 1.3

x= 40


ANSWER: The unknown number is 40, so it is less than 52. We multiply the unknown number by 130% to equal 52.

Hope this helps! :)
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Step-by-step explanation:

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8 0
2 years ago
I am thinking of two numbers. The sum of the two is 10 and the difference is 2
mixer [17]

Answer:

4 and 6

Step-by-step explanation:

First, let's find all the pairs that add up to 10.

  • 1 + 9, 2 + 8, 3 + 7, 4 + 6, and 5 + 5

Next, we find the difference between the addends for each pair.

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5 0
2 years ago
18pts Solve for x. -3x + 6 = 2x - 24 <br> A) -30 <br> B) -6 <br> C) 6 <br> D) 30
Natasha2012 [34]

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8 0
3 years ago
Read 2 more answers
Construct a 99​% confidence interval to estimate the population proportion with a sample proportion equal to 0.36 and a sample s
vivado [14]

Using the z-distribution, the 99​% confidence interval to estimate the population proportion is: (0.2364, 0.4836).

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions is given by:

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which:

  • \pi is the sample proportion.
  • z is the critical value.
  • n is the sample size.

In this problem, we have a 99% confidence level, hence\alpha = 0.99, z is the value of Z that has a p-value of \frac{1+0.99}{2} = 0.995, so the critical value is z = 2.575.

The estimate and the sample size are given by:

\pi = 0.36, n = 100.

Then the bounds of the interval are:

  • \pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.36 - 2.575\sqrt{\frac{0.36(0.64)}{100}} = 0.2364
  • \pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.36 + 2.575\sqrt{\frac{0.36(0.64)}{100}} = 0.4836

The 99​% confidence interval to estimate the population proportion is: (0.2364, 0.4836).

More can be learned about the z-distribution at brainly.com/question/25890103

#SPJ1

8 0
2 years ago
152.5 is what percent of 61
Anna71 [15]
<span>152.5 is 250% of 61

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5 0
3 years ago
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