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finlep [7]
3 years ago
11

In what way are juveniles subject to different laws than adults?

Mathematics
2 answers:
finlep [7]3 years ago
5 0
C i learned it from ms.albert
ella [17]3 years ago
4 0
I think the answer is c
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Determine weather the two expressions are equivelent tell what property is applied if not explain why (35+17)+43 and 35 +(17+43)
madam [21]

Answer:

Associative Property

Step-by-step explanation:

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3 years ago
Jane needs to miss fewer than 1/6 of the words on her spelling list.  If there are 18 words, how many can she miss?  Explain.
rjkz [21]
She would have to miss 1 or 2 because 1/6 of 18 is 3 so less than 3 is 2 or 1

hope that helps!
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3 years ago
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Find the distance between the points R(0,1) and S(6,3.5)
Genrish500 [490]

Answer:

Step-by-step explanation:

=(3)2+(5.5)2‾‾‾‾‾‾‾‾‾‾‾‾√

d=(3)2+(5.5)2

=9+30.25‾‾‾‾‾‾‾‾‾√

d=9+30.25

=3‾√9.25

d=39.25

=6.264982

5 0
3 years ago
The American Water Works Association reports that the per capita water use in a single-family home is 63 gallons per day. Legacy
Debora [2.8K]

Answer:

t=\frac{60-63}{\frac{8.9}{\sqrt{28}}}=-1.784    

df=n-1=28-1=27  

p_v =P(t_{(27)}  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to fail reject the null hypothesis, so we can't conclude that the true mean is less than 63 gallons per day at 1% of signficance.  

Step-by-step explanation:

Data given and notation  

\bar X=60 represent the sample mean

s=8.9 represent the sample standard deviation

n=28 sample size  

\mu_o =68 represent the value that we want to test

\alpha=0.01 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean is less than 63, the system of hypothesis would be:  

Null hypothesis:\mu \geq 63  

Alternative hypothesis:\mu < 63  

If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{60-63}{\frac{8.9}{\sqrt{28}}}=-1.784    

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=28-1=27  

Since is a one side lower test the p value would be:  

p_v =P(t_{(27)}  

Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to fail reject the null hypothesis, so we can't conclude that the true mean is less than 63 gallons per day at 1% of signficance.  

5 0
4 years ago
What is the Domain and Range *DON'T FORGET PARENTHESES AND BRACKETS*
Alborosie

Answer:

D= {-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6}

R={-6,-5,-4,-3,-2,-1,1,2,5)

Step-by-step explanation:

5 0
3 years ago
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