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disa [49]
3 years ago
7

What is the solution to the equation: 3(-2x - 1) = 2(x + 5)?

Mathematics
1 answer:
Molodets [167]3 years ago
3 0

C

remove the parentheses

move the terms

collect like terms and calculate

divide both sides

and you get -13/8

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Four rulers and three pencils cost £2.15 Three rulers and four pencils cost £2.05 Work out the cost lf a ruler and the cost of a
zubka84 [21]

Answer:

The cost of 1 ruler and 1 pencil are $0.35 and $0.25 respectively,

Step-by-step explanation:

Let the cost of 1 ruler be x

Let the cost of 1 pencil be y

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Cost of 3 rulers = 3x

Cost of 3 pencils = 3y

Cost of 4 pencils = 4y

We are given that Four rulers and three pencils cost £2.15

4x+3y=2.15 ---- Black line

We are also given that Three rulers and four pencils cost £2.05

3x+4y=2.05 --- Red line

Plot the lines on the graph

Point of Intersection of lines is (0.35,0.25)

Cost of a ruler = $0.35

Cost of a pencil = $0.25

Hence The cost of 1 ruler and 1 pencil are $0.35 and $0.25 respectively,

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Given cot A = 5/6 and that angle A is in Quadrant I, find the exact value of csc A in
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Step-by-step explanation:

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Answer:

The probability of obtaining a result equivalent to or greater than what was the truly observed value of the test statistic is 0.001.

Step-by-step explanation:

The researcher can use a one sample <em>z</em> test to determine whether his claim is correct or not.

The hypothesis to test whether the mean BMI is more than 25.0, is defined as:

<em>H₀</em>: The mean BMI is not more than 25.0, i.e. <em>μ </em>≤ 25.0.

<em>Hₐ</em>: The mean BMI is more than 25.0, i.e. <em>μ </em>> 25.0.

The test statistic is defined as:

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

The <em>p</em>-value of the test is,

<em>p</em> = 0.001.

The p-value is well-defined as per the probability, [under the null-hypothesis (<em>H₀</em>)], of attaining a result equivalent to or greater than what was the truly observed value of the test statistic.

A small p-value (typically ≤ 0.05) specifies sufficient proof against the null hypothesis (<em>H₀</em>), so you discard <em>H₀</em>. A large p-value (> 0.05) specifies fragile proof against the <em>H₀</em>, so you fail to discard <em>H₀.</em>

The <em>p</em>-value of 0.001 indicates that the probability of obtaining a result equivalent to or greater than what was the truly observed value of the test statistic is 0.001.

As the <em>p</em>-value is very small, the null hypothesis will be rejected at any level of significance.

Thus, concluding that the mean BMI of adult Canadians is more than 25.0.

3 0
4 years ago
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