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Snezhnost [94]
3 years ago
11

What is 0.482 repeating as a simplified fraction?

Mathematics
1 answer:
weeeeeb [17]3 years ago
4 0

the idea being, we multiply the value by some power of 10 just to move the repeating digits to the left of the decimal point.  We have 3 digits, we'll use 1000, anyhow, without further adieu,


\bf \begin{array}{|ccl|ll}
\cline{1-3}
\stackrel{\qquad}{x=0.\overline{482}}&&\\
\cline{1-3}
&&\\
\stackrel{\textit{3 digits, we use 3 zeros}}{1000\cdot x}&=&482.\overline{482}\\
&&482+0.\overline{482}\\
&&482+x\\
&&\\
\cline{1-3}
\end{array}\implies 1000x=482+x
\\\\\\
999x=482\implies x=\cfrac{482}{999}

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Select all the common denominators for
Vitek1552 [10]

Answer:

B, E

Step-by-step explanation:

There are a few ways to check for common denominator.

Here is one method

Take the 4 and 10 and see if both numbers will  go into the numbers evenly. If they do, it is a common denominator

<u>Will 4 and 10 divide evenly into 10 ?</u>

4 will not go into 10 evenly

10 is not a common denominator.

<u>Will 4 and 10 divide evenly into 20?</u>

4 will go into 20 evenly. 20 /4 = 5

10 will go into 20 evenly 20 / 10 =  2

So 20 is a common denominator

<u>Will 4 and 10 divide evenly into 24?</u>

4 will go into 24 evenly 24 / 4 = 6

10 will not go into 24 evenly

24 is not a common denominator

<u>Will 4 and 10 divide evenly into 32?</u>

4 will go into 32 evenly 32 / 4 = 8

10 will not go into 32 evenly

32 is not a common denominator

<u>Will 4 and 10 divide evenly into 40?</u>

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10 will go into 40 evenly 40 / 10 = 4

40 is a common denominator

3 0
3 years ago
Assume that the population of human body temperatures has a mean of 98.6 degrees F and a standard deviation of 0.62 degrees F. I
dimulka [17.4K]

Answer:

0% probability of getting a mean temperature of 98.2 degrees F or lower.

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 = 98.6, \sigma = 0.62, n = 106, s = \frac{0.62}{\sqrt{106}} = 0.06

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This is the pvalue of Z when X = 98.2. So

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

Z = \frac{98.2 - 98.6}{0.06}

Z = -6.67

Z = -6.67 has a pvalue of 0.

So there is a 0% probability of getting a mean temperature of 98.2 degrees F or lower.

8 0
3 years ago
Sara had some buns she sold 5/9 of them, if she has 128 buns left. How many bums did she have at first?
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Step-by-step explanation:

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Answer:

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