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Scrat [10]
3 years ago
9

What is 49% as a fraction?

Mathematics
2 answers:
Alla [95]3 years ago
8 0

kpkpk rffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffe

castortr0y [4]3 years ago
3 0
.49 because that is said 49 hundredths, and a fractions is a given number over 100. But because it is less than 1 or 100% it must be a decimal.
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The slope-intercept form of a linear equation is y=mx + b, where x and y are
HACTEHA [7]

Answer:

m = \frac{y-b}{x}

Step-by-step explanation:

Given

y = mx + b ( isolate the term in m by subtracting b from both sides )

y - b = mx ( divide both sides by x )

\frac{y-b}{x} = m

6 0
3 years ago
A regular Pentagon with sides 40cm what is the perimeter​
grigory [225]

Perimeter = namely the length of outside bordering,

well, this is a PENTAgon, or PENTA=5 or namely 5 sides, is regular so each side is the same length, so we have a polygon with 5 sides each measuring 40cm, well, its perimeter is just 40+40+40+40+40 = 200.

7 0
3 years ago
How many hours does it take to get 5 miles?
Dmitry_Shevchenko [17]

Depends on MPH or Miles Per Hour.

Going 10 mph = 30 minutes

Going 50 mph = 10 minutes

Etc.


8 0
3 years ago
The distribution of SAT II Math scores is approximately normal with mean 660 and standard deviation 90. The probability that 100
gayaneshka [121]

Using the <em>normal distribution and the central limit theorem</em>, it is found that there is a 0.1335 = 13.35% probability that 100 randomly selected students will have a mean SAT II Math score greater than 670.

<h3>Normal Probability Distribution</h3>

In a normal distribution with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

  • It 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, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation s = \frac{\sigma}{\sqrt{n}}.

In this problem:

  • The mean is of 660, hence \mu = 660.
  • The standard deviation is of 90, hence \sigma = 90.
  • A sample of 100 is taken, hence n = 100, s = \frac{90}{\sqrt{100}} = 9.

The probability that 100 randomly selected students will have a mean SAT II Math score greater than 670 is <u>1 subtracted by the p-value of Z when X = 670</u>, hence:

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

By the Central Limit Theorem

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

Z = \frac{670 - 660}{9}

Z = 1.11

Z = 1.11 has a p-value of 0.8665.

1 - 0.8665 = 0.1335.

0.1335 = 13.35% probability that 100 randomly selected students will have a mean SAT II Math score greater than 670.

To learn more about the <em>normal distribution and the central limit theorem</em>, you can take a look at brainly.com/question/24663213

7 0
2 years ago
Can someone please help me
QveST [7]

Answer:

<h2><em><u>m = 20</u></em></h2><h2><em><u>a = 48</u></em></h2><h2><em><u>These are the answers.</u></em></h2>

Step-by-step explanation:

1. m/-8 = -2.5

*-8 = *-8

m = -2.5*-8

m = 2.5*8

<em><u>m = 20</u></em>

2. 7/8a = 42

*8            *8

7a = 336

/7       /7

a = 336/7

<em><u>a = 48</u></em>

<em><u></u></em>

Hope this helped,

Kavitha

5 0
3 years ago
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