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Yuliya22 [10]
3 years ago
12

A family spends 1/3 of its income for the mortgage and 1/6 of its income for food. What proportion of its income remains?

Mathematics
2 answers:
Wittaler [7]3 years ago
5 0

Answer:

1/2

Step-by-step explanation:

Since we're dealing with fractions, the total fraction is 1

Mortgage =1/3

Food =1/6

Fraction of income left=x

So we equate everything above to 1

\frac{1}{3}  +  \frac{1}{6}  + x = 1

\frac{1}{3}  +  \frac{1}{6}  + x =  1  \\  lcm = 6  \\ multiply \: each \: term \: by \: 6 \\ 6 \times  \frac{1}{3}  + 6 \times  \frac{1}{6}  + 6(x) = 6(1)

=  > 2(1) + 1(1) + 6x = 6 \\ 2 + 1 + 6x = 6 \\ 3 + 6x = 6

6x = 6 - 3 \\ 6x = 3 \\ x =  \frac{3}{6}  =  \frac{1}{2}

Aloiza [94]3 years ago
4 0

Answer: 1/2

Step-by-step explanation:

1/3 = 2/6 so 2/6 + 1/6 = 3/6

3/6 = 1/2

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Answer:

z=\frac{0.1475-0.1}{\sqrt{\frac{0.1(1-0.1)}{400}}}=3.17  

The p value for this case would be given by:

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For this case the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis and we can conclude that the true mean is significantly higher than 0.1 and then Company B can reject the shipment

Step-by-step explanation:

Information provided

n=400 represent the random sample taken

X=59 represent number of defectives from the company B

\hat p=\frac{59}{400}=0.1475 estimated proportion of defectives from the company B  

p_o=0.1 is the value to verify

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z would represent the statistic

p_v represent the p value

Hypothesis to test

We want to verify if the true proportion of defectives is higher than 0.1 then the system of hypothesis are.:  

Null hypothesis:p \leq 0.1  

Alternative hypothesis:p > 0.1  

The statistic would be given by:

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Replacing the info given we got:

z=\frac{0.1475-0.1}{\sqrt{\frac{0.1(1-0.1)}{400}}}=3.17  

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p_v =P(z>3.17)=0.00076  

For this case the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis and we can conclude that the true mean is significantly higher than 0.1 and then Company B can reject the shipment

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