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Mars2501 [29]
3 years ago
9

Simplify the given expression, using only positive exponents. then complete the statements that follow. [ (x2y3)−1 (x−2y2z)2 ] 2

, x ≠ 0, y ≠ 0, z ≠ 0.
Mathematics
2 answers:
PolarNik [594]3 years ago
7 0
[(x**-2) y**2 .z)**2]**2        (x**-8)(y**8)(z**4)
----------------------- =        ----------------------------- 
[x**2 . y**3]**2                   (x**4) (y**6)


     (y**8)(z**4)            (y**2)*(z**4)
    --------------------- = -------------
    (x**12) (y**6)             (x**12)

fenix001 [56]3 years ago
6 0

Answer:

x^{-12}y^{2}z^{4}

Step-by-step explanation:

We have to simplify the given expression given as

[(x^{2}y^{3})^{-1}.(x^{-2}y^{2}z)^{2}]^{2}

[x^{-2}.y^{-3}.x^{-4}.y^{4}.z^{2}]^{2}

[x^{-2-4}.y^{-3+4}.z^{2}]^{2}=[x^{-6}.y^{1}.z^{2}]^{2}=x^{(-6-6)}.y^{1+1}.z^{2+2}=x^{-12}y^{2}z^{4}

Therefore simplification of the given expression gives x^{-12}y^{2}z^{4}

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Suppose a local manufacturing company claims their production line has a variance of less than 9.0. A quality control engineer d
Alexxx [7]

Answer:

\chi^2 =\frac{35-1}{9} 2.12^2 =16.979

p_v =P(\chi^2

If we compare the p value and the significance level provided we see that p_v so on this case we have enough evidence in order to reject the null hypothesis at the significance level provided. And that means that the population variance is significantly lower than 9

Step-by-step explanation:

Notation and previous concepts

A chi-square test is "used to test if the variance of a population is equal to a specified value. This test can be either a two-sided test or a one-sided test. The two-sided version tests against the alternative that the true variance is either less than or greater than the specified value"

n=35 represent the sample size

\alpha=0.01 represent the confidence level  

s =2.12 represent the sample deviation obtained

\sigma_0 =3 represent the value that we want to test

Null and alternative hypothesis

On this case we want to check if the population variance specification is lower than 9 and the deviation lower than 3, so the system of hypothesis would be:

Null Hypothesis: \sigma^2 \geq 9

Alternative hypothesis: \sigma^2

Calculate the statistic  

For this test we can use the following statistic:

\chi^2 =\frac{n-1}{\sigma^2_0} s^2

And this statistic is distributed chi square with n-1 degrees of freedom. We have eveything to replace.

\chi^2 =\frac{35-1}{9} 2.12^2 =16.979

Calculate the p value

In order to calculate the p value we need to have in count the degrees of freedom , on this case df= n-1= 35-1=34. And since is a left tailed test the p value would be given by:

p_v =P(\chi^2

In order to find the p value we can use the following code in excel:

"=CHISQ.DIST(16.979,34,TRUE)"

Conclusion

If we compare the p value and the significance level provided we see that p_v so on this case we have enough evidence in order to reject the null hypothesis at the significance level provided. And that means that the population variance is significantly lower than 9

6 0
3 years ago
10 plus 30 equals what i ont know it
ioda

Answer: 10+30=40 :)

Step-by-step explanation:

7 0
3 years ago
Simplify the product of (3+√7)(3-√7) that you found in the previous step.
mezya [45]
The answer is 2
Look at the picture attached for steps

8 0
3 years ago
11/25x-7/25= what is the answer
natka813 [3]

Answer:

11

25

x+

−7

25

Step-by-step explanation:

8 0
2 years ago
Sue drove her car 253 miles in january, 277 miles in february, and 280 miles in march. if her average mileage for the four month
Ostrovityanka [42]
X= miles driven in April


(253 + 277 + 280 + x)/4= 284
add in parentheses

(810 + x)/4= 284
multiply both sides by 4

810 + x= 1136
subtract 810 from both sides

x= 326 miles


ANSWER: She must drive 326 miles in April to average at least 284 miles January through April.

Hope this helps! :)
5 0
3 years ago
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