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Dmitriy789 [7]
3 years ago
7

Part A: Solve the following system of authentically showing your work: 3x + 2y = 4 4x + 3y = 7.

Mathematics
1 answer:
IgorC [24]3 years ago
6 0

This is hard.................

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Maths gcse please help me
rosijanka [135]
Im sorry wish i could help but the equation is a little confusing give me a few moments and i will figure out the answer okay?
3 0
3 years ago
Read 2 more answers
-2x2 - x + 7 +x2 +4x-5
Arada [10]

Answer:

Need more?

Step-by-step explanation:

-x^2 + 3x + 2

Is this the answer?

6 0
3 years ago
Peter sold an article for $3600 gaining one sixth of its selling price. Find the cost price and the gain percent.
Ivahew [28]

Answer:

See the answers below

Step-by-step explanation:

Given data

Cost of artilce= $3600

Gain= 1/6 of 3600

Hence the Gain is

=1/6*3600

=0.166*3600

=$600

The Gain Percent is

=600/3600*100

=0.1666*100

=16.66%

5 0
3 years ago
Waclaw needs to drive 478 miles on Oak Street and 434 miles on Pine Street to get to the nearest gas station.
Mekhanik [1.2K]

Answer:

1. can

2. less

3. 5

Step-by-step explanation:

To find out if Waclaw could make it to the gas station using 10 miles, we need to add the number of miles he has to go in order to reach his destination.

4\frac{7}{8}+4\frac{3}{4}  = 9\frac{5}{8}\\

9 5/8 is less than 10, so he can make it to the gas station.

We can also find out the answer without even adding the numbers together, because both values are less than five, and when that happens, the sum cannot be 10 or more, so Waclaw can make it to the gas station.

4 0
3 years ago
In a sample of 100 steel canisters, the mean wall thickness was 8.1 mm with a standard deviation of 0.5 mm. Someone says that th
Travka [436]

Answer:

This statement can be made with a level of confidence of 97.72%.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 8.1 mm

Standard Deviation, σ = 0.5 mm

Sample size, n = 100

We are given that the distribution of thickness is a bell shaped distribution that is a normal distribution.

Formula:

z_{score} = \displaystyle\frac{x-\mu}{\sigma}

Standard error due to sampling:

=\dfrac{\sigma}{\sqrt{n}} = \dfrac{0.5}{\sqrt{100}} = 0.05

P(mean thickness is less than 8.2 mm)

P(x < 8.2)

P( x < 8.2)\\\\ = P( z < \displaystyle\frac{8.2 - 8.1}{0.05})\\\\ = P(z < 2)

Calculation the value from standard normal z table, we have,  

P(x < 8.2) =0.9772 = 97.72\%

This statement can be made with a level of confidence of 97.72%.

8 0
4 years ago
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