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EleoNora [17]
3 years ago
5

Find the measure for ∠LQR. A) 126 ° B) 129 ° C) 131 ° D) 133 °

Mathematics
2 answers:
kaheart [24]3 years ago
6 0

Answer:

A) 126°

Step-by-step explanation:

to find b:

90 - 12b = - 3b + 63

- 12b + 3b = 63 - 90

- 9b = - 27

- b = - 27/9

-b = -3

b = 3

to find the measure of MQR:

-3*3 + 63 = 54°

to find the measure of LQR:

180 - 54 = 126°

tatiyna3 years ago
6 0

Answer:

125

Step-by-step explanation:

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Simplify each expression. Use a slash () to show a fraction. Do not use any spaces.<br> -(3)^2
I am Lyosha [343]

Answer:

The answer would be -9

Step-by-step explanation:

-(3)^2

-(9)

-9

Following order of operations (PEMDAS)

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3 years ago
The number 3.892 x 10/6 writing in standard
aniked [119]

To write the number is standard form we need to move the decimal point six times to the right, then:

3.892\times x10^6=3,892,000

therefore the answer is b.

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1 year ago
Complete the table using the equation y = 3x
erica [24]

Answer:

Table is attached with values, but answers are:

(0, 0) (1, 3) (2, 6) (3, 9)

Step-by-step explanation:

y = 3x

Substitute all values.

y = 3(0)

y = 0

0, 0

y = 3(1)

y = 3

1, 3

y = 3(2)

y = 6

2, 6

y = 3(3)

y = 9

3, 9

4 0
2 years ago
Read 2 more answers
Figure EFGHK as shown below is to be transformed to figure E′F′G′H′K′ using the rule
MAVERICK [17]

9514 1404 393

Answer:

  (a)  (4, 8)

Step-by-step explanation:

Apply the transformation rule to the coordinates of point H.

  (x, y) → (x +8, y +5)

  H(-4, 3) → H'(-4 +8, 3 +5) = H'(4, 8)

4 0
3 years ago
Assume that a simple random sample has been selected from a normally distributed population. State the hypotheses, find the test
BaLLatris [955]

Solution

Hypotheses:

- The population mean is 132. In order to test the claim that the mean is 132, we should check for if the mean is not 132.

- Thus, the Hypotheses are:

\begin{gathered} H_0:\mu=132 \\ H_1:\mu\ne132 \end{gathered}

Test statistic:

- The test statistic has to be a t-statistic because the sample size (n) is less than 30.

- The formula for finding the t-statistic is:

\begin{gathered} t=\frac{\bar{X}-\mu}{\frac{s}{\sqrt{n}}} \\  \\ where, \\ \bar{X}=\text{ Sample mean} \\ \mu=\text{ Population mean} \\ s=\text{ Standard deviation} \\ n=\text{ Sample size} \end{gathered}

- Applying the formula, we have:

\begin{gathered} t=\frac{137-132}{\frac{14.2}{\sqrt{20}}} \\  \\ t=\frac{5}{3.1752} \\  \\ t\approx1.5747 \end{gathered}

Critical value:

- The critical value t-critical, is gotten by reading off the t-distribution table.

- For this, we need the degrees of freedom (df) which is gotten by the formula:

\begin{gathered} df=n-1 \\ df=20-1=19 \end{gathered}

- And then we also use the significance level of 0.1 and the fact that it is a two-tailed test to trace out the t-critical. (Note: significance level of 0.1 implies 10% significance level)

- This is done below:

- The critical value is 1.729

P-value:

- To find the p-value, we simply check the table for where the t-statistic falls.

- The t-statistic given is 1.5747. We simply check which values this falls between in the t-distribution table. It falls between 1.328 and 1.729. We can simply choose a value between 0.1 and 0.05 and multiply the result by 2 since it is a two-tailed test.

- However, we can also use a t-distribution calculator, we have:

- Thus, the p-value is 0.13183

Final Conclusion:

- The p-value is 0.13183, and comparing this to the significance level of 0.1, we can see that 0.13183 is outside the rejection region.

- Thus, the result is not significant and we fail to reject the null hypothesis

7 0
1 year ago
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