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Marina CMI [18]
3 years ago
5

Can anyone please help me with this with an explanation

Mathematics
2 answers:
bekas [8.4K]3 years ago
3 0

Answer:

x=6

Step-by-step explanation:

Step 1: Simplify both sides of the equation.

5x+4x−68=34−8x

5x+4x+ −68=34+ −8x

(5x+4x)+(−68)=−8x+34(Combine like terms)

9x+−68=−8x+34

9x−68=−8x+34

Step 2: Add 8x to both sides.

9x −68+ 8x= −8x +34 +8x

17x −68 =34

Step 3: Add 68 to both sides.

17x −68 +68= 34 +68

17x=102

Step 4: Divide both sides by 17.

17x /17=  102/17

                                X=6   > final answer hope i could help :)

EleoNora [17]3 years ago
3 0

Step-by-step explanation:

Let's step through this line by line, looking for a spot where the friend could have made a mistake.

5x+4x-68=34-8x\\5x+4x=102-8x\\5x+4x+8x=102\\17x=102\\x=6

So, where could the friend have made their mistake? The key here is the transition from step 1 to step 2. What if we had subtracted 68 instead of adding it?

5x+4x-68=34-8x\\5x+4x=-34-8x\\5x+4x+8x=-34\\17x=-34\\x=-2

There it is. The friend's problem was that they had accidentally <em>subtracted</em> 68 to both sides when they should have <em>added</em> it.

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Step-by-step explanation:

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P:[12.207 ,16.869, 25.050, 22.429, 8.456, 20.589]

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n_{UP}=6 sample size for the group unpoisoned

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2) Concepts and formulas to use

We need to conduct a hypothesis in order to check if the mean for rats exposed to DDT is greater than that for rats not poisoned , the system of hypothesis would be:

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Alternative hypothesis:\mu_{P} > \mu_{UP}

If we analyze the size for the samples both are less than 30 and the population deviations are not given, so for this case is better apply a t test to compare means, and the statistic is given by:

t=\frac{\bar X_{P}-\bar X_{UP}}{\sqrt{\frac{s^2_{P}}{n_{P}}+\frac{s^2_{UP}}{n_{UP}}}} (1)

t-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.

The standard error is given by:

SE =\sqrt{\frac{s^2_{P}}{n_{P}}+\frac{s^2_{UP}}{n_{UP}}}

And if we replace we got:

SE =\sqrt{\frac{(6.34)^2}{6}+\frac{(1.95)^2}{6}}}=2.708

3) Calculate the statistic

We can replace in formula (1) the results obtained like this:

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