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Salsk061 [2.6K]
3 years ago
13

Drag a description next to the matching model to complete this proof of the Pythagorean theorem. Show that a square with area c²

can be transformed into two squares with areas a² and b².
Mathematics
1 answer:
lesya [120]3 years ago
5 0

Answer: The square is made of 4 congruent triangles.....

Moving two of the triangles changes the figures shape....

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Answer:

y = 6 + 8 \\ y = 14

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Which of the following shows 18/8 as a mixed number and 1 7/12as<br> an improper fraction?
Masja [62]

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18/8=2 1/4 and 1 7/12=19/12 i think

Step-by-step explanation:

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Last one of the night
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3 years ago
The inspection division of the Lee County Weights and Measures Department is interested in estimating the actual amount of soft
cluponka [151]

Answer:

The 98% confidence interval estimate of the true average amount of soft drink in each bottle is between 2.97 liters and 3.01 liters.

Step-by-step explanation:

We have the standard deviation for the sample, so we use the t-distribution to solve this question.

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 64 - 1 = 63

98% confidence interval

Now, we have to find a value of T, which is found looking at the t table, with 63 degrees of freedom(y-axis) and a confidence level of 1 - \frac{1 - 0.98}{2} = 0.99. So we have T = 2.387

The margin of error is:

M = T\frac{s}{\sqrt{n}} = 2.387\frac{0.06}{\sqrt{64}} = 0.02

In which s is the standard deviation of the sample and n is the size of the sample.

The lower end of the interval is the sample mean subtracted by M. So it is 2.99 - 0.02 = 2.97 liters

The upper end of the interval is the sample mean added to M. So it is 2.99 + 0.02 = 3.01 liters

The 98% confidence interval estimate of the true average amount of soft drink in each bottle is between 2.97 liters and 3.01 liters.

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3 years ago
What do I do with the x squared
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first, find the square root of 45. and make x normal. a square root cancels out a square. It should be 6.7x

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