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Serjik [45]
2 years ago
10

A student is using shadows and similar triangles to indirectly measure the height of a building. Which of the following proporti

ons could not be used to accurately find the height?

Mathematics
1 answer:
Darya [45]2 years ago
4 0

Answer:

The first and third choice

Step-by-step explanation:

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I dont really understand this
galina1969 [7]

Answer:

1. a^-b

2.a^b/a^c

3.a^c/b^c

4 0
3 years ago
What is the slope intercept form when m = 1/2 &amp; b = 89 ?<br> Helppppppppp
Zina [86]

Answer:

y = \frac{1}{2}x + 89

Step-by-step explanation:

slope-intercept form: y  = mx + b

y = (x , y)

x = (x , y)

m = slope = 1/2

b = y-intercept = 89

Plug in the corresponding numbers & variables to the corresponding variables:

y = (1/2)x + 89

y = \frac{1}{2}x + 89  is your answer.

~

5 0
3 years ago
Read 2 more answers
Which is not equivalent to 45 over 75 ?
statuscvo [17]
D. 70% because 45/75=0.6 or 60% and 60% doesn't equal to 70%
Hope this helps!!
5 0
3 years ago
Read 2 more answers
5/6w+21=-1/3(2w-9).
oksian1 [2.3K]
I believe this question logically tells us to find the value of w. The two equations are already equated. Since there is 1 unknown and 1 equation, the system is solvable. The solution is as follows:

5/(6w+21) = -1/3(2w - 9)
5/(6w+21) = -1/(6w - 27)
Cross multiplying the terms:
5(6w - 27) = -1(6w +21)
30w - 135 = -6w - 21
30w + 6w = -21 + 135 = 114
36w = 114
w = 114/36
w = 19/6 or 3.167
7 0
3 years ago
Use the given values of n and p to find the minimum usual value μ−2σ and the maximum usual value μ+2σ. Round to the nearest hund
lbvjy [14]

Answer:

μ−2σ = 1,089.26

μ+2σ = 1,097.62

Step-by-step explanation:

The standard deviation of a sample of size 'n' and proportion 'p' is:

\sigma=\sqrt{\frac{p*(1-p)}{n} }

If n=1139 and p =0.96, the standard deviation is:

\sigma=\sqrt{\frac{p*(1-p)}{n}}\\\sigma = 0.001836

The minimum and maximum usual values are:

\mu-2\sigma = (p-2\sigma)*n\\\mu+2\sigma = (p+2\sigma)*n

\mu-2\sigma = (0.96-2*0.001836)*1139\\\mu-2\sigma = 1,089.26\\\mu+2\sigma = (0.96+2*0.001836)*1139\\\mu+2\sigma = 1,097.62

5 0
2 years ago
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