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3 years ago

Find the slope of UV.*

Mathematics

1 answer:

ddd [48]3 years ago

7 0

Answer:

The slope of UV = 4

Step-by-step explanation:

Given the points

U(3, 1)

V(-1, 2)

Finding the slope of UV

$\mathrm{Slope}=\frac{y_2-y_1}{x_2-x_1}$

$\left(x_1,\:y_1\right)=\left(-1,\:1\right),\:\left(x_2,\:y_2\right)=\left(-2,\:-3\right)$

$m=\frac{-3-1}{-2-\left(-1\right)}$

$m=4$

Thus, the slope of UV = 4

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10.5 - 8.7 = 1.8
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6. (07.02 MC)

Alexus [3.1K]

Answer:

x = 28.07°

Step-by-step explanation:

Recall: SOH CAH TOA

Reference angle given = x°

Opposite = 8

Hypotenuse = 17

Apply SOH:

$Sin x = \frac{Opp}{Hyp}$

Substitute

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7+n=−5 18=−3y−6 3/5x=18

Keith_Richards [23]

Answer:

1) n=-12

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3) x= 1/30

Step-by-step explanation:

1) 7+n=-5

7+n-7=-5-7

n=-12

2) 18=-3y-6

-3y-6=18

-3y-6+6=18+6

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y= -8

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3 years ago

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PLS HELP ME!! STATE THE DOMAIN AND RANGE OF EACH RELATION AND WHETHER ITS A FUNCTION

muminat

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3 years ago

When we test Upper H 0: muequals0 against Upper H Subscript a: mugreater than0, we get a P-value of 0.03. a. What would the

Anastasy [175]

Answer:

(a) The null hypothesis will be rejected.

(b) Type I error

Step-by-step explanation:

The hypothesis provided is:

$H_{0}: \mu = 0\\ H_{a} : \mu > 0$

The p-value of the test obtained is 0.03

(a)

Decision rule for hypothesis testing, based on p-value, states that if the p-value is less than the significance level (α) then the null hypothesis is rejected and vice versa.

The significance level is α = 0.10

Then,

$p-value = 0.03 < \alpha = 0.10$

Thus, the null hypothesis will be rejected.

Conclusion:

The null hypothesis is rejected stating that the value of μ is more than 0.

(b)

If the decision in (a) is an error, i.e. the null hypothesis is rejected when in fact it is true, this type of error is known as type I error.

(c)

The significance level is α = 0.01

Then,

$p-value = 0.03 > \alpha = 0.01$

Thus, the null hypothesis will not be rejected.

Conclusion:

The null hypothesis was not rejected stating that the value of μ is 0.

If this decision is an error, i.e. the null hypothesis was not rejected when in fact it is false, this type of error is known as type II error.

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3 years ago