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4 years ago

What set of reflections would carry trapezoid ABCD onto itself?

Mathematics

2 answers:

jok3333 [9.3K]4 years ago

8 0

The correct answer is:

y=x, x-axis, y=x, y-axis

Explanation:

A reflection across the line y=x maps every point (x, y) to (y, x); it switches the coordinates but does not negate them.

This means for A(1, -1), we would have A'(-1, 1); B(2, -2)→B'(-2, 2); C(3, -2)→C'(-2, 3); and D(4, -1)→D'(-1, 4).

A reflection across the x-axis negates the y-coordinate; algebraically,

(x, y)→(-x, y).

This takes our new points A'(-1, 1)→A''(-1, -1); B'(-2, 2)→B''(-2, -2); C'(-2, 3)→C''(-2, -3); and D'(-1, 4)→D''(-1, -4).

Reflecting again across the line y=x will again switch the x- and y-coordinates:

A''(-1, -1)→A'''(-1, -1); B''(-2, -2)→B'''(-2, -2); C''(-2, -3)→C'''(-3, -2); and D''(-1, -4)→D'''(-4, -1).

Reflecting across the y-axis will negate the x-coordinate:

A'''(-1, -1)→(1, -1); B'''(-2, -2)→(2, -2); C'''(-3, -2)→(3, -2); and D'''(-4, -1)→(4, -1).

These are the same as our original points.

iren2701 [21]4 years ago

5 0

Answer: y = x, x-axis, y = x, y-axis

https://www.desmos.com/calculator/ike9geovzg

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4 years ago

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And rounded up we have that n=20545

Step-by-step explanation:

Assuming this question: Use the data to find minium sample size required to estimate population proportion. Margin of error: 0.009, confidence level: 99%, p and q are unknown.

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

Solution to the problem

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 99% of confidence, our significance level would be given by $\alpha=1-0.99=0.01$ and $\alpha/2 =0.005$ . And the critical value would be given by: