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barxatty [35]
3 years ago
12

Parallelograms 1 and 2 are similar. The perimeter of parallelogram 1 is 12.4 cm and the perimeter of parallelogram 2 is 18.6 cm.

Mathematics
2 answers:
Levart [38]3 years ago
7 0
You can set up the ratio 12.4:18.6 because it says that the parallelograms are similar.
now simplify as much as possible
12.4:18.6
6.2:9.3
2:3
Yuri [45]3 years ago
4 0
The ratio of y: z is
<span>
12.4: 18.6,

since the issue is the parallelogram 1 (y) and parallelogram 2 (z)</span>
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Answer:

3x^{3} -66

Step-by-step explanation:

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3 years ago
The mayor of a town has proposed a plan for the construction of an adjoining bridge. A political study took a sample of 1700 vot
lara [203]

Answer:

z=\frac{0.66 -0.63}{\sqrt{\frac{0.63(1-0.63)}{1700}}}=2.562  

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So the p value obtained was a very low value and using the significance level given \alpha=0.02 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that at 2% of significance the proportion of voters that favored construction is higher than 0.63 or 63%.

Step-by-step explanation:

Data given and notation

n=1700 represent the random sample taken

\hat p=0.66 estimated proportion of voters that favored construction

p_o=0.63 is the value that we want to test

\alpha=0.02 represent the significance level

Confidence=98% or 0.98

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 percentage of residents who favor construction is more than 63%.:  

Null hypothesis:p \leq 0.63  

Alternative hypothesis:p > 0.63  

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{0.66 -0.63}{\sqrt{\frac{0.63(1-0.63)}{1700}}}=2.562  

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=0.02. 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>2.562)=0.0052  

So the p value obtained was a very low value and using the significance level given \alpha=0.02 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that at 2% of significance the proportion of voters that favored construction is higher than 0.63 or 63%.

7 0
3 years ago
Which of the following relations is a function? {(–7, 6), (6, –7), (–7, 9), (10, 3)} {(5, –4), (–4, 5), (–5, 4), (4, –5)} {(2, –
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The second one is correct
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What is the result of -5/8 times -8 8/9
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Step-by-step explanation:

Here, the transformed form of the exponential function,

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Thus, Last Option is correct.



8 0
3 years ago
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