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3 years ago

10

What is the length of the unknown leg in the right triangle?

2 answers:

klemol [59]3 years ago

6 0

The answer to your question is A.) 6 mm

WARRIOR [948]3 years ago

6 0

By Pythagorean Theorem,
7^2 + a^2 = √85^2
49 + a^2 = 85
a^2 = 85-49
a^2 = 36
a= 6mm

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one side of a square is 10 units. which is greater,the number of square units for the area of the square or the number of units

user100 [1]

Hello Shaffer23,
All sides of a square are the same length so since the side is 10 units
Perimeter=40units
but to find the area of a square it is BasexHeight
10x10
Area is 100
So the answer would be the units for area
~Naterator
Please Thank and Rate If This Is Helpful <3

8 0

2 years ago

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Find the area of a circle whose circumference is 24 pi.

lozanna [386]

Answer:

452.39 sq.unit is the area of that circle.

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3 years ago

Which polynomial is in standard form?

Artyom0805 [142]

Answer:

B

Step-by-step explanation:

When a polynomial is in standard form, it is arranged in the order of largest power first, followed by the next largest, and then so on. The only polynomial here that follows this rule is the second one, or choice B. Hope this helps!

4 0

3 years ago

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Rockwell hardness of pins of a certain type is known to have a mean value of 50 and a standard deviation of 1.2.a. If the distri

zalisa [80]

Answer:

a

$P(\= X \ge 51 ) =0.0062$

b

$P(\= X \ge 51 ) = 0$

Step-by-step explanation:

From the question we are told that

The mean value is $\mu = 50$

The standard deviation is $\sigma = 1.2$

Considering question a

The sample size is n = 9

Generally the standard error of the mean is mathematically represented as

$\sigma_x = \frac{\sigma }{\sqrt{n} }$

=> $\sigma_x = \frac{ 1.2 }{\sqrt{9} }$

=> $\sigma_x = 0.4$

Generally the probability that the sample mean hardness for a random sample of 9 pins is at least 51 is mathematically represented as

$P(\= X \ge 51 ) = P( \frac{\= X - \mu }{\sigma_{x}} \ge \frac{51 - 50 }{0.4 } )$

$\frac{\= X -\mu}{\sigma } = Z (The \ standardized \ value\ of \ \= X )$

$P(\= X \ge 51 ) = P( Z \ge 2.5 )$

=> $P(\= X \ge 51 ) =1- P( Z < 2.5 )$

From the z table the area under the normal curve to the left corresponding to 2.5 is

$P( Z < 2.5 ) = 0.99379$

=> $P(\= X \ge 51 ) =1-0.99379$

=> $P(\= X \ge 51 ) =0.0062$

Considering question b

The sample size is n = 40

Generally the standard error of the mean is mathematically represented as

$\sigma_x = \frac{\sigma }{\sqrt{n} }$

=> $\sigma_x = \frac{ 1.2 }{\sqrt{40} }$

=> $\sigma_x = 0.1897$

Generally the (approximate) probability that the sample mean hardness for a random sample of 40 pins is at least 51 is mathematically represented as

$P(\= X \ge 51 ) = P( \frac{\= X - \mu }{\sigma_x} \ge \frac{51 - 50 }{0.1897 } )$

=> $P(\= X \ge 51 ) = P(Z \ge 5.2715 )$

=> $P(\= X \ge 51 ) = 1- P(Z < 5.2715 )$

From the z table the area under the normal curve to the left corresponding to 5.2715 and

=> $P(Z < 5.2715 ) = 1$

So

$P(\= X \ge 51 ) = 1- 1$

=> $P(\= X \ge 51 ) = 0$

5 0

2 years ago

The cost of renting a car is 55 a week plus.35 mile traveled during that week an equation to represent the cost would be y=55+0.

uysha [10]

Answer:

65 miles

Step-by-step explanation:

y=55+0.35x

77.75 = 55+0.35x

77.75 - 55 = 0.35x

22.75 = 0.35x

22.75 ÷ 0.35 = 0.35x ÷ 0.35

65 = x

x = 65

7 0

2 years ago

Read 2 more answers