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DENIUS [597]
2 years ago
7

2/3 divided by 9/10 simplified step-by-step

Mathematics
1 answer:
Ksivusya [100]2 years ago
6 0

Answer:

20/27

Step-by-step explanation:

2/3 is the dividend,

9/10 is the divisor,

20/27 is the quotient.

Remember: 2/3 divided by 9/10

2/3 ÷ 9/10 = 2/3 x 10/9. Hence, instead of performing the division, multiplying 2/3 with the reciprocal of 9/10 is the easiest method to find what is 2/3 divided by 9/10 in fraction form.

[RevyBreeze]

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Let’s assume the 147 freshman maintained a 65% attendance rate during the first 4 week of school. If our next 4 week goal for at
shutvik [7]

Answer:

  • 12 students  

Step-by-step explanation:

If 65% equals 147

Then to maintain 70% there is a need for 5% more

<u>Which equals</u>

  • 5*147/65 ≈ 12 students
4 0
3 years ago
Read 2 more answers
PLEASE HELP. Prove that the value of the expression: b (36^5−6^9)(38^9−38^8) is divisible by 30 and 37.
pishuonlain [190]

Answer:

Step-by-step explanation:

First factor the second binomial

38^9 - 38^8 = 38^9 (38 - 1 ) = 38^9(37)

So there's your 37. This whole expression is divisible by 37

Now do the first  binomial

36^5 - (36^4)*6

36^4(36 - 6)

36^4(30) and there's your thirty.

That first term is going to cause a bit of trouble showing that 36^4 * 6 = 6^9

6(36^4) = 6(6^2)^4 = 6^1 * 6^8 = 6^9

So this factors into 30*(36^4)*37*38^9

3 0
4 years ago
The weights of 67 randomly selected axles were found to have a variance of 3.85. Construct the 80% confidence interval for the p
VLD [36.1K]

Answer:

3.13

Step-by-step explanation:

We are given the following in the question:

Sample size, n = 67

Variance = 3.85

We have to find 80% confidence interval for the population variance of the weights.

Degree of freedom = 67 - 1 = 66

Level of significance = 0.2

Chi square critical value for lower tail =

\chi^2_{1-\frac{\alpha}{2}}= 51.770

Chi square critical value for upper tail =

\chi^2_{\frac{\alpha}{2}}= 81.085

80% confidence interval:

\dfrac{(n-1)S^2}{\chi^2_{\frac{\alpha}{2}}} < \sigma^2 < \dfrac{(n-1)S^2}{\chi^2_{1-\frac{\alpha}{2}}}

Putting values, we get,

=\dfrac{(67-1)3.85}{81.085} < \sigma^2 < \dfrac{(67-1)3.85}{51.770}\\\\=3.13

Thus, (3.13,4.91) is the required 80% confidence interval for the population variance of the weights.

8 0
3 years ago
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

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3 years ago
Which graph shows the points (−112, 12) and (1.5, −0.5) plotted correctly? On a coordinate plane, a point is 0.5 units to the ri
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Answer:

Graph 'B' represents the correct graph.

The correct graph is attached below.

Step-by-step explanation:

Let 'A' be the point:

  • A\left(-1\frac{1}{2},\:\frac{1}{2}\right)

Let 'B' be the point:

  • B\:\left(1.5,\:-0.5\right)

As point A(-1 1/2, 1/2) can be written as:

A=\left(-\frac{3}{2},\:\frac{1}{2}\right)=\left(-1.5,\:0.5\right)

so plotting the point A=\left(-1.5,\:0.5\right)\:\:\:\: and B\:\left(1.5,\:-0.5\right) on a B\:\left(1.5,\:-0.5\right).

  • As we know that the 2nd quadrant, in the upper left-hand corner, consists of negative values of x and positive values of y.

Thus, the point A(-1.5, 0.5) will be plotted in the 2nd quadrant at x = -1.5 and y=0.5

i.e. at x= -1.5, y = 0.5

  • As we know that the 4th quadrant, the lower left-hand corner, consists of positive values of x and negative values of y.

Point B(1.5, -0.5) will be plotted in the 4th quadrant at x = 1.5 and y = -0.5

i.e. at x= 1.5, y = -0.5

Thus, graph 'B' represents the correct graph.

The correct graph is attached below.

6 0
3 years ago
Read 2 more answers
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