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julsineya [31]
3 years ago
8

Solve S=ab³/3 for b​

Mathematics
1 answer:
daser333 [38]3 years ago
5 0

Answer:

b=cube root of 3s/a

Step-by-step explanation:

First multiply 3 on each side getting 3S=ab³

Second divide by a getting b³=3S/a

Third take the cube root of both sides getting the cube root of 3S/a

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70% of the U.S. population recycles. According to a green survey of a random sample of 250 college students, 204 said that they
pav-90 [236]

Answer:

z=\frac{0.816 -0.7}{\sqrt{\frac{0.7(1-0.7)}{250}}}=4.002  

p_v =P(z>4.002)=0.0000314  

So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of people said that they recycled is significantly higher than 0.7 or 70%

Step-by-step explanation:

Data given and notation

n=250 represent the random sample taken

X=204 represent the people said that they recycled

\hat p=\frac{204}{250}=0.816 estimated proportion of people said that they recycled

p_o=0.7 is the value that we want to test

\alpha=0.01 represent the significance level

Confidence=99% or 0.99

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is higher than 0.7.:  

Null hypothesis:p\leq 0.7  

Alternative hypothesis:p > 0.7  

When we conduct a proportion test we need to use the z statisitc, 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.

Calculate the statistic  

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

z=\frac{0.816 -0.7}{\sqrt{\frac{0.7(1-0.7)}{250}}}=4.002  

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 significance level provided \alpha=0.01. 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>4.002)=0.0000314  

So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of people said that they recycled is significantly higher than 0.7 or 70%

3 0
3 years ago
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goblinko [34]
C is the answer 12 marbles and 20 marbles
8 0
4 years ago
Maria runs 7 miles in 80 minutes. at the same rate, how many miles would she run in 64 minutes​
Alex777 [14]

Answer:

5.6 miles

Step-by-step explanation:

Firstly, we need to find the unit rate (the number of miles in 1 minutes).

To get this, we need to divide total miles ran (7 miles) by the total minutes taken (80 minutes). Thus, we will have MILES PER MINUTE.

7 miles ÷ 80 minutes = 7/80 miles per minute

Now,

We want number of miles in 64 minutes. Since we know "PER MINUTE", we simply multiply that with 64 to get number of miles in that amount of time.

THus,

\frac{7}{80}*64=\frac{56}{10}=5.6

So, in 64 minutes, Maria can run 5.6 miles

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3 years ago
I WILL GIVE U BRAINLIEST, NO LINKS. ITS JUST 1 QUESTION
4vir4ik [10]
It’s the first one :)
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3 years ago
Please help they’re 2 questions
IgorLugansk [536]

i think it’s is a for the first one

4 0
4 years ago
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