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ra1l [238]
3 years ago
6

Write a translation rule that maps point D(7, −3) onto point D'(2, 5).

Mathematics
1 answer:
12345 [234]3 years ago
5 0

Answer:

The translation rule is described by D'(x,y) =(x-5,y+8).

Step-by-step explanation:

According to Linear Algebra, a translation consists in sum a given vector (original point in this case) with another vector (translation vector). We can define translation as follows:

D'(x,y) = D(x,y) +U(x,y) (Eq. 1)

Where:

D(x,y) - Original vector with respect to origin, dimensionless.

D'(x,y) - Translated vector with respect to origin, dimensionless.

U(x,y) - Translation vector with respect to original vector, dimensionless.

From (Eq. 1) we get that translation vector is:

U(x,y) = D'(x,y)-D(x,y)

If we know that D(x,y) = (7,-3) and D'(x,y) =(2,5), then the translation vector is:

U(x,y) = (2,5)-(7,-3)

U(x,y) = (-5,8)

And we find the translation rule by assuming that D(x,y) = (x,y) and U(x,y) = (-5,8) in (Eq. 1):

D'(x,y) = (x,y)+(-5,8)

D'(x,y) =(x-5,y+8)

The translation rule is described by D'(x,y) =(x-5,y+8).

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The right answer is:

4\leq x\leq 6

Step-by-step explanation:

The rate of change of a line is the steepness of the line or how close is the line to being vertical.

The more steeper the line of graph is, the more is the rate of change

The given graph has to be observed thoroughly, we can see that the graph has the most rate of change (i.e. the more close to being vertical) between 4 and 6

So,

The right answer is:

4\leq x\leq 6

Keywords: Slope, rate of change

Learn more about slope at:

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Fairfield Homes is developing two parcels near Pigeon Fork, Tennessee. In order to test different advertising approaches, it use
evablogger [386]

Answer:

(1)  Null Hypothesis, H_0 : \mu_1 = \mu_2

    Alternate Hypothesis, H_1 : \mu_1\neq \mu_2

(2) Test statistics = -1.48

(3) At the 0.05 significance level, Fair field conclude that the population means are same.

Step-by-step explanation:

Let \mu_1 = mean annual family income for 12 people making inquiries at the first development

\mu_2 = mean annual family income for 24 people making inquiries at the second development

s_1 = standard deviation of annual family income for 12 people making inquiries at the first development

s_2 = standard deviation of annual family income for 24 people making inquiries at the second development

n_1 = sample of people of first development i.e. 12

n_2 = sample of people of second development i.e. 24

(1) Null Hypothesis, H_0 : \mu_1 = \mu_2  {population means are same}

  Alternate Hypothesis, H_1 : \mu_1\neq \mu_2  {population means are different}

<u>DECISION RULE ;</u>

  • If the test statistics is less than the critical value of t from table at 5% significance level, then we will accept null hypothesis, H_0 .
  • If the test statistics is more than the critical value of t from table at 5% significance level, then we will reject null hypothesis, H_0 .

(2) The test statistics is given by;

                      \frac{(X_1bar -X_2bar) - (\mu_1-\mu_2)}{s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}  } } ~ t_n__1+n_2-2

where,  X_1bar = Sample mean income of people at first development

                        = $153,000

X_2bar = Sample mean income of people at second development = $171,000  

s_1 = $42,000  and   s_2 = $30,000

   s_p= \sqrt{\frac{(n_1-1)s_1^{2}+(n_2-1)s_2^{2}  }{n_1+n_2-2}} =  \sqrt{\frac{(12-1)42000^{2}+(24-1)30000^{2}  }{12+24-2}} = 34344.30

Test statistics = \frac{(153000 -171000) - 0}{34344.30\sqrt{\frac{1}{12}+\frac{1}{24}  } } ~ t_3_4

                       = -1.48

(3) At 5% level of significance, t table gives critical value of 2.032 at 34 degree of freedom.Since our test statistics is less than the critical value of t so considering our decision rule, we will accept null hypothesis.

And conclude that population means are same.

4 0
4 years ago
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