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Firdavs [7]
3 years ago
7

A triangle is reduced. What is the perimeter of the reduced triangle, in inches.

Mathematics
1 answer:
algol133 years ago
8 0

Answer:

the perimeter is 36

Step-by-step explanation:

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Please help me on this quick!! Thanks and please show work.
FinnZ [79.3K]
The two parallel bases b1 and b2 are
b1 = 12
b2 = 9
the order of which base you pick doesn't matter

The height is h = 10 and it's perpendicular to each base.

The area is...

A = (1/2)*h*(b1+b2)
A = (1/2)*10*(12+9)
A = (1/2)*10*(21)
A = 5*21
A = 105

Final Answer: B) 105 square centimeters
8 0
3 years ago
WILL MARK BRAINLIEST. Which of the following statements about the polynomial function given is true?
Katyanochek1 [597]

Answer:

A.

Step-by-step explanation:

because as X approaches infinity, the negative sign will cause it to go opposite of X.

4 0
3 years ago
Read 2 more answers
What is the answer to 4x²+7=31
Shtirlitz [24]

Answer: x2= 6

FYI: The x2 is x squared

Step-by-step explanation:

Simplifying

4x2 + 7 = 31

Reorder the terms:

7 + 4x2 = 31

Solving

7 + 4x2 = 31

Solving for variable 'x'.

Move all terms containing x to the left, all other terms to the right.

Add '-7' to each side of the equation.

7 + -7 + 4x2 = 31 + -7

Combine like terms: 7 + -7 = 0

0 + 4x2 = 31 + -7

4x2 = 31 + -7

Combine like terms: 31 + -7 = 24

4x2 = 24

Divide each side by '4'.

x2 = 6

Simplifying

x2 = 6

3 0
3 years ago
Convert the given amount to the given unit.<br> 6.5 lb; ounces<br> 6.5 lb =<br> ounces
Aneli [31]

Answer:

the answer is 104

Step-by-step explanation:

1= 16

6= 96

0,5=8

5 0
3 years ago
Which of the following is not true about the standard error of a statistic?
aniked [119]

Answer:

Only option d is not true

Step-by-step explanation:

Given are four statements about standard errors and we have to find which is not true.

A. The standard error measures, roughly, the average difference between the statistic and the population parameter.

-- True because population parameter is mean and the statistic are the items.  Hence the differences average would be std error.

B. The standard error is the estimated standard deviation of the sampling distribution for the statistic.

-- True the sample statistic follows a distribution with standard error as std deviation

C. The standard error can never be a negative number. -- True because we consider only positive square root of variance as std error

D. The standard error increases as the sample size(s) increases

-- False.  Std error is inversely proportional to square root of n.  So when n  decreases std error increases

5 0
3 years ago
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