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Dmitrij [34]
2 years ago
7

Which fraction represents the decimal 0. ModifyingAbove 1 2 with Bar?

Mathematics
2 answers:
Licemer1 [7]2 years ago
6 0

Answer:

\frac{3}{25}

Step-by-step explanation:

Given that \overline{0.12} is the repeating decimal.

The repeating decimal \overline{0.12} is converted into the fraction as :

\overline{0.12} = \frac{3}{x}

<=> 0.121212 = \frac{3}{x}

Multiplying both sides by x, we have,

<=> 0.121212x = 3

Dividing both sides by 0.121212, we get:

<=> x = \frac{3}{0.121212}

<=> x = 25

So the  fraction represents the decimal \overline{0.12} is: \frac{3}{25}

Hope it well find you well.

yaroslaw [1]2 years ago
3 0

Answer:

C.) 4/33

Step-by-step explanation:

Took the test on ed.

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The Given Sequence is an Arithmetic Sequence with First term = -19

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Given n = 63 and we found a = -19 and d = 6

\implies S_6_3 = \frac{63}{2}(2(-19) + (63 - 1)6)

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The Sum of First 63 terms is 10521

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Approximately 68% of a normal distribution lies within one standard deviation of the mean, so this corresponds to students with scores between (57.5 - 6.5, 57.5 + 6.5) = (51, 64)
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So to get the $ spent on misc items, just add up the other expenses and subtract it from 3600:

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Answer:

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Alternative hypothesis:p_{1} \neq p_{2}  

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Step-by-step explanation:

Data given and notation  

X_{1}=25 represent the number of homeowners who would buy the security system

X_{2}=9 represent the number of renters who would buy the security system

n_{1}=140 sample 1

n_{2}=60 sample 2

p_{1}=\frac{25}{140}=0.179 represent the proportion of homeowners who would buy the security system

p_{2}=\frac{9}{60}= 0.15 represent the proportion of renters who would buy the security system

z would represent the statistic (variable of interest)  

p_v represent the value for the test (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to check if the two proportions differs , the system of hypothesis would be:  

Null hypothesis:p_{1} = p_{2}  

Alternative hypothesis:p_{1} \neq p_{2}  

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z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}   (1)  

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Calculate the statistic  

Replacing in formula (1) the values obtained we got this:  

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