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SSSSS [86.1K]
3 years ago
9

The Diaz family bought a house for $240,000. The

Mathematics
1 answer:
Dominik [7]3 years ago
3 0
240,000 (0.03) is the answer
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Can 15x-10 be factored
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Yes because removing the common factor is important. There are a few steps, then you can factor by regrouping. Hope this helps.
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3 years ago
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It takes 9 builders 54 days to complete a house.
Dima020 [189]

It would take 6 builders  36 days to complete the same house.

<h3>Who are builders?</h3>

Builders are those person whose job is to build or repair houses and other buildings.

We have,

9 builders take 54 days to complete a house.

So,

1  builder will take  (\frac{54}{9})  days to complete a house,

In the same way,

6  builder will take  (\frac{54}{9}*6)  days to complete a house,

i.e.

6  builder   =(\frac{54}{9}*6)= 36 days.

Hence, we can say that it would take 6 builders  36 days to complete the same house.

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1 year ago
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There are 20 grams of protein in 3
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Answer:

How many ounces of fish per gram of protein?

Step-by-step explanation:

6 0
2 years ago
Can someone pls help lol I rlly do need help on this :)
Fittoniya [83]

Answer:

a+51=90

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39

Step-by-step explanation:

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7 0
3 years ago
Consider the following hypothesis test:
Gnom [1K]

Answer:

a. z=3.09. Yes, it can be concluded that the population mean is greater than 50.

b. z=1.24. No, it can not be concluded that the population mean is greater than 50.

c. z=2.22. Yes, it can be concluded that the population mean is greater than 50.

Step-by-step explanation:

We have a hypothesis test for the mean, with the hypothesis:

H_0: \mu\leq50\\\\H_a:\mu> 50

The sample size is n=55 and the population standard deviation is 6.

The significance level is 0.05.

We can calculate the standard error as:

\sigma_M=\dfrac{\sigma}{\sqrt{n}}=\dfrac{6}{\sqrt{55}}=0.809

For a significance level of 0.05, the critical value for z is zc=1.644. If the test statistic is bigger than 1.644, the null hypothesis is rejected.

a. If the sample mean is M=52.5, the test statistic is:

z=\dfrac{M-\mu}{\sigma_M}=\dfrac{52.5-50}{0.809}=\dfrac{2.5}{0.809}=3.09

The null hypothesis is rejected, as z>zc and falls in the rejection region.

b. If the sample mean is M=51, the test statistic is:

z=\dfrac{M-\mu}{\sigma_M}=\dfrac{51-50}{0.809}=\dfrac{1}{0.809}=1.24

The null hypothesis failed to be rejected, as z<zc and falls in the acceptance region.

c. If the sample mean is M=51.8, the test statistic is:

z=\dfrac{M-\mu}{\sigma_M}=\dfrac{51.8-50}{0.809}=\dfrac{1.8}{0.809}=2.22

The null hypothesis is rejected, as z>zc and falls in the rejection region.

8 0
3 years ago
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