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svet-max [94.6K]
2 years ago
9

The Sugar Sweet Company is going to transport its sugar to market. It will cost $3500 to rent trucks, and it will cost an additi

onal $150 for each ton of sugar
transported.
Let C represent the total cost (in dollars), and let S represent the amount of sugar (in tons) transported. Write an equation relating C to S. Then use this
equation to find the total cost to transport 19 tons of sugar.
Mathematics
1 answer:
Mademuasel [1]2 years ago
8 0

Answer:

$2850 is the cost of 19 tons of sugar  and $6350 is the cost of trucks and sugar

Step-by-step explanation:

Well if the trucks cost $3500. 19 x 150=$2850 the cost of 19 tons. 3500+2850=$6350 cost of sugar and trucks.

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Use what you know about percents to answer these questions.
Andrei [34K]

Answer:

1. 72%

2. 18

3. 25

Step-by-step explanation:

1. 18/25= .72= 72%

2. 9f always means to multiply so .3 times 60= 18

3. work backward so 5/20%= 25

4 0
3 years ago
Read 2 more answers
Use the figure to the right to find the value of PT. T is the midpoint of PQ.
Ghella [55]

Answer:

<em>PT=30 units</em>

Step-by-step explanation:

Given that:

Line PQ which has a mid point at T.

PT = 3x + 9 and

TQ = 5x -5

To find:

PT = ? in simplified terms.

Solution:

First of all, let us recall that mid point on a line segment is a point that divides the line in two equal parts.

In other words:

If a point B is the mid point of line segment AC, then AB = BC.

Here, the point T is the midpoint of PQ.

i.e. PT = TQ

3x+9=5x-5\\\Rightarrow 3x-5x=-5-9\\\Rightarrow -2x=-14\\\Rightarrow x=7

Putting value of x in PT above:

PT = 3x+9 = 3 \times 7 +9 \\\Rightarrow \bold{PT=30\ units}

7 0
3 years ago
Can someone help plz ill give brainiest
Whitepunk [10]

Answer:

402.123859659

Step-by-step explanation:

first we use A=πr2

this gives us A = 16π

Then multiply by 8 to get 128π

128π = 402.123859659

7 0
2 years ago
The value of a house is $165,000 and it loses 4% of its value every year.
astraxan [27]
1)Y=165000(1-0.04)^t
2)y=165000(1-0.04)^20=?? Use the calculator
8 0
3 years ago
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.  

3 0
3 years ago
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