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3 years ago

What is the area of this compound shape?!

Mathematics

2 answers:

iris [78.8K]3 years ago

8 0

So you would start with the square and do 18 times 18 which equals 324 then for the triangle it's base times height divided by two so 9 times 18 divided by 2 which equals 81 then you add the triangle plus the square and your final answer is

answer:405

Kruka [31]3 years ago

6 0

First you have to find the area of the triangle. To do this you must us the formula 1/2 multiplied by the base and height of the triangle. In this case the equation would be: 1/2 (or 0.5) x 18 x 9 which equals 81. Then you would have to find the area of the square, which is base times height which would be: 18 x 18. This would equal 324. To get your final answer you need to find the product of the two areas which would equal 405.

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Rodney is given twi equations:x-y=11 and 2x+y=19

lozanna [386]

Answer:

x= 10 and y= -1

Step-by-step explanation:

Rewrite your second equation Y= -2x+ 19 then plug it into the first equation.

x- (-2x + 19) = 11

x + 2x - 19 =11

3x - 19 = 11

3x = 30

x = 10

The plug that answer into the first equation and solve.

10 - y = 11

-y = 1

y = -1

3 0

3 years ago

the graph below shows how many gallons of gas are used by a boat when it travels. how many gallons of gas would the boat use to

Sindrei [870]

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3 years ago

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katen-ka-za [31]

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5 0

3 years ago

Read 2 more answers

A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The standard deviation of the amount in

erica [24]

Answer:

$\chi^2 =\frac{10-1}{0.0144} 0.0217 =13.54$

The degrees of freedom are:

$df=n-1=10-1=9$

Now we can calculate the p value using the alternative hypothesis:

$p_v =2*P(\chi^2 >13.54)=0.279$

Since the p value is higher than the signficance level assumed of 0.05 we have enough evidence to FAIL to reject the null hypothesis and there is no evidence to conclude that the true deviation differs from 0.12 ounces

Step-by-step explanation:

Assuming the following data:"12.14 12.05 12.27 11.89 12.06

12.14 12.05 12.38 11.92 12.14"

We can calculate the sample deviation with this formula:

$s =\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$