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BARSIC [14]
3 years ago
8

Which vector matrix represents the reflection of the vector <-1,5> across the line x = y

Mathematics
1 answer:
Arturiano [62]3 years ago
6 0

Answer:

V = \left[\begin{array}{ccc}5&-1\end{array}\right]

Step-by-step explanation:

We want to reflect this 2x1 vector on the line y = x.

To make this reflection we must use the following matrix:

R=\left[\begin{array}{cc}0&1\\1&0\\\end{array}\right]

Where R is known as the reflection matrix on the line x = y

Now perform the product of the vector <-1,5> x R.

\left[\begin{array}{ccc}-1\\5\end{array}\right]x\left[\begin{array}{ccc}0&1\\1&0\end{array}\right]\\\\\\\left[\begin{array}{ccc}-1(0) +5(1)&-1(1)+5(0)\end{array}\right]\\\\\\\left[\begin{array}{ccc}5&-1\end{array}\right]

The vector matrix that represents the reflection of the vector <-1,5> across the line x = y is:

V = \left[\begin{array}{ccc}5&-1\end{array}\right]

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Answer:

28

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46 cm.

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Jaina and Tomas compare their compound interest accounts to see how much they will have in the accounts after three years. They
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Using the z-distribution, as we have the standard deviation for the population, to test the hypothesis, it is found that this is evidence that workers in the large city take longer than 28 minutes to get home from work.

<h3>What are the hypothesis tested?</h3>

At the null hypothesis, it is tested if the mean time is of 28 minutes, that is:

H_0: \mu = 28

At the alternative hypothesis, it is tested if the mean time is greater than 28 minutes, that is:

H_1: \mu > 28.

<h3>What is the test statistic?</h3>

The test statistic is given by:

z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}}

The parameters are:

  • \overline{x} is the sample mean.
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  • n is the sample size.

In this problem, the values of the parameters are given by:

\overline{x} = 32, \mu = 28, \sigma = 5, n = 10

Hence:

z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{32 - 28}{\frac{5}{\sqrt{10}}}

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<h3>What is the decision?</h3>

Considering that we have a <em>right-tailed test</em>, as we are testing if the mean is greater than a value, with a standard <em>significance level of 0.05</em>, the critical value is of z^\ast = 1.645.

Since the test statistic is greater than the critical value, it is found that this is evidence that workers in the large city take longer than 28 minutes to get home from work.

To learn more about the z-distribution, you can check brainly.com/question/26454209

4 0
2 years ago
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