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3 years ago

8

Simplify. Radical Expression's. √18

1 answer:

gayaneshka [121]3 years ago

7 0

I hope this helps you

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What is the difference between adding whole numbers and adding decimals?

noname [10]

Answer:

The only difference is that we line up the numbers according to the decimal point. For addition, it doesn't matter which number goes on the bottom.

4 0

2 years ago

schepotkina [342]

The area of the triangle ABC is 207.5 square units.

Explanation:

The measurements of the sides of the triangle are $AB=19$ , $AC=24$ and $m\angle A=65^{\circ}$

We need to determine the area of the triangle ABC.

<u>Area of the triangle:</u>

The area of the triangle can be determined using the formula,

${Area}=\frac{1}{2} b c \sin A$

where $b=19$ , $c=24$ and $m\angle A=65^{\circ}$

Substituting these values in the above formula, we get,

${Area}=\frac{1}{2}(19)(24) \sin 65^{\circ}$

Simplifying the values, we get,

${Area}=\frac{1}{2}(456) (0.91)$

${Area}=\frac{1}{2}(414.96)$

${Area}=207.48$

Rounding off to the nearest tenth, we get,

${Area}=207.5$

Thus, the area of the triangle ABC is 207.5 square units.

5 0

3 years ago

Read 2 more answers

Help please ..............

Cloud [144]

Answer:

x = 437.3 ft

Step-by-step explanation:

The angle at the top of the triangle = 90° - 29° = 61°

Using the sine ratio in the right triangle

sin61° = $\frac{opposite}{hypotenuse}$ = $\frac{x}{500}$

Multiply both sides by 500

500 × sin61° = x, hence

x ≈ 437.3

8 0

4 years ago

Read 2 more answers

Which statment is true

Paraphin [41]

I think hamburger and French fries

6 0

4 years ago

An automobile manufacturer claims that its jeep has a 53.9 miles/gallon (MPG) rating. An independent testing firm has been contr

Advocard [28]

Answer:

Value of the test statistic, $z_{test} = - 1.17$

Step-by-step explanation:

Null hypothesis, $H_{0}: \mu = 53.9$

Alternative hypothesis, $H_{a} : \mu \neq 53.9$

Sample mean, $\bar{X} = 53.7$

Sample size, n = 110

Standard deviation, $\sigma = 1.8$

Significance level, $\alpha = 0.02$

The value of the test statistics is given by the formula:

$z_{test} = \frac{\bar{X} - \mu}{\frac{\sigma}{\sqrt{n} } } \\z_{test} = \frac{53.7 - 53.9}{\frac{1.8}{\sqrt{110} } } \\z_{test} = - 1.17$

7 0

3 years ago