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professor190 [17]
1 year ago
8

Georgie has a rectamgular wooden deck that measures 2.5 meters by 3.4 meters. she builds an addition to the deck that makes it .

6 meters longer. what is the perimeter of her deck now?
Mathematics
1 answer:
sukhopar [10]1 year ago
8 0

Perimeter of her deck now is 11.8 meter and George wants a light source that is 13 meters long.

<h3>What is perimeter of rectangle ?</h3>

One of the crucial formulas relating to the rectangle is its perimeter. It is the whole distance that the rectangle's outside perimeter covers. You will encounter numerous geometrical forms and sizes in math that have an area, perimeter, and even volume (for 3-d figures). Additionally, you will learn the formulas for each of those characteristics.

Given that :Georgie has a rectangular wooden deck that measures 2.5 meters by 3.4 meters. she builds an addition to the deck that makes it .6 meters longer

A rectangle's perimeter is determined by :

P = 2( L+B)

P = 2 ( 2.5 + 3.4)

P = 2 ( 5.9)

P = 11.8 meters

(b) The perimeter will be equal to the perimeter of the original form + 2 because he wants to add a 0.6 meter long wooden deck to his home (0.6). The two rectangle lengths must be taken into account, thus we selected 2(0.6).

we have,

P = 11.8 meters + 2(0.6)

= 11. 8 + 1.2

= 13 meters

George wants a light source that is 13 meters long.

To learn more about perimeter of rectangle visit :

brainly.com/question/13797677

#SPJ4

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Step-by-step explanation:

Data given and notation

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Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion of successes is less than 0.8.:  

Null hypothesis:p\geq 0.8  

Alternative hypothesis:p < 0.8  

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{0.755 -0.8}{\sqrt{\frac{0.8(1-0.8)}{98}}}=-1.114  

Statistical decision  

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The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

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

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