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____ [38]
3 years ago
11

John plant trees for a living. He has weekly expenses of $425 plus an additional $35 for each tree. If he charges $120 for each

tree he plants, how many trees does he have to plant each week before he can make a profit?
Mathematics
2 answers:
Gelneren [198K]3 years ago
5 0
Your answer is 3, hope this helps
Mars2501 [29]3 years ago
4 0
<span>3*120+3*35=360+105=465 
He needs to plant 3 trees to make a profit.</span>
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3/4 divided by 6/7<br> Please help me
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Answer:

Hey! So the answer is 7/8 or 0.875

Step-by-step explanation:

So in order to divide fractions you can change them into decimals which would get you 0.875.

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correct on edge2020

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The average yield of the standard variety off soybeans per acre on a farm in a region is 48.8 bushels per acre, with a standard
I am Lyosha [343]

Answer:

z=\frac{53.4-48.8}{\frac{12}{\sqrt{36}}}=2.3  

p_v =P(Z>2.3)=1-P(Z  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean is not significantly higher than 48.8 at 1% of signficance.  

Step-by-step explanation:

1) Data given and notation  

\bar X=53.4 represent the sample mean

\sigma=12 represent the population standard deviation assumed

n=36 sample size  

\mu_o =48.8 represent the value that we want to test  

\alpha=0.01 represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

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

2) State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean is higher than 48.8, the system of hypothesis would be:  

Null hypothesis:\mu \leq 48  

Alternative hypothesis:\mu > 48  

Since we assume that know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

3) Calculate the statistic  

We can replace in formula (1) the info given like this:  

z=\frac{53.4-48.8}{\frac{12}{\sqrt{36}}}=2.3  

4)P-value  

Since is a right tailed test the p value would be:  

p_v =P(Z>2.3)=1-P(Z  

5) Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean is not significantly higher than 48.8 at 1% of signficance.  

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3 years ago
two fractions with different denominators have a sum of 7/12 what are two possible addends that results in this sum
yawa3891 [41]
1/3+1/4=7/12 because changing the denominators to make them common gives you 4/12+3/12=7/12
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