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SpyIntel [72]
3 years ago
12

What is the volume of this rectangular prisen? Cm 4 cm

Mathematics
1 answer:
Kaylis [27]3 years ago
4 0

Answer:

64 cm

Step-by-step explanation:

Volume = 4 * 4 * 4

             = 64 cm

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6x+2y=12 how do I show my work
EleoNora [17]
Divide both sides
3x+y-6=0
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6x=12-2y
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x=2-1/3y
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Final answer:
x=2
5 0
4 years ago
Read 2 more answers
Factor the expression y4 − 81 using the polynomial identity (x2 − y2) = (x − y)(x + y).
katrin [286]
The factored form is (y^2+9)(y^2-9).

Plug the two terms into the equation by finding the root of both.
√y^4= y^2
√81= 9

From here, you plug the terms into the form (x+y)(x-y)
(y^2+9)(y^2-9)

Hope this helps!
6 0
3 years ago
What is 80% of 230? ​
Orlov [11]

Answer:

184

Step-by-step explanation:

6 0
3 years ago
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Use the Statistical Applet: P ‑Value for a Test of One Proportion to answer the question.You have taken a sample of ????=1000 in
umka21 [38]

Answer:

z=\frac{0.785 -0.7}{\sqrt{\frac{0.7(1-0.7)}{750}}}=5.08  

p_v =P(z>5.08)=1.88x10^{-7}  

So the p value obtained was a very low value and using the significance level assumed \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is highr than 0.67 or 67% .  

Step-by-step explanation:

1) Data given and notation  

n=20 represent the random sample taken

X=15 represent the people who eat breakfast

\hat p=\frac{15}{20}=0.75 estimated proportion of people who eat breakfast

p_o=0.67 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is higher than 67%:  

Null hypothesis:p\leq 0.67  

Alternative hypothesis:p > 0.67  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.785 -0.7}{\sqrt{\frac{0.7(1-0.7)}{750}}}=5.08  

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The next step would be calculate the p value for this test.  

Since is a right tailed test the p value would be:  

p_v =P(z>5.08)=1.88x10^{-7}  

So the p value obtained was a very low value and using the significance level assumed \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is highr than 0.67 or 67% .  

6 0
3 years ago
Solve the expression for x = 2. 6x + (-2x) + 2
garik1379 [7]
6(2)+(-2(2))
12+(-4)
12-4
8
3 0
3 years ago
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