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3 years ago

Will give brainliest

Mathematics

1 answer:

Tresset [83]3 years ago

5 0

Wouldn’t it be B. SSS

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What is the volume of the rectangular prism?

vladimir2022 [97]

Answer:

B, 5.25 inches cubed

Step-by-step explanation:

1.5 x 3.5 x 1 = 5.25

7 0

3 years ago

Read 2 more answers

The slope-intercept form of the equation of a line that passes through point (-2,-13) is y=5x-3. What is the point-slope form of

marissa [1.9K]

Answer:

y + 13 = 5(x + 2)

Step-by-step explanation:

<h3>Point - slope form of equation: </h3>

$\sf \boxed{\bf y - y_1=m(x-x_1)}$

Slope intercept of the line : y =5x - 3

Comparing with y = mx +b , m =slope = 5

m = 5 and Point (-2 ,-13)

y - [-13] = 5(x - [-2])

y + 13 = 5(x + 2)

4 0

2 years ago

Whoever answers will get 60 points. Pls answer based off of the answer choices.

AnnyKZ [126]

Hello from MrBillDoesMath!

Answer:

Discussion:

$350 at 6% = => as "percent" means per 100

350 * (6/100) = => as 350 * 6 = 2100

2100/100 =

Thank you,

MrB

7 0

3 years ago

Regis has a bag with 8 tiles numbered 1 through 8. He randomly draws one bag without looking. Which of the following describes a

Daniel [21]

He has a likely outcome of 1/8

8 0

3 years ago

16. From past experience, a company has found that in cartons of transistors, 92% contain no defective transistors, 3% contain o

Lynna [10]

Answer:

E(x)=0.15

V(x)=0.3075

S(x)=0.5545

Step-by-step explanation:

The mean of a discrete variable is calculated as:

$E(x)=x_1*p(x_1)+x_2*p(x_2)+...+x_n*p(n)$

where $x_1,x_2,...,x_n$ are the values that the variable can take and $p(x_1),p(x_2),...,p(x_n)$ are their respective probabilities.

So, if we call x the number of defective transistors in cartons, we can calculate the mean E(x) as:

$E(x)=(0*0.92)+(1*0.03)+(2*0.03)+(3*0.02)=0.15$

Because there are 0 defective transistor with a probability of 0.92, 1 defective transistor with a probability of 0.03, 2 defective transistors with a probability of 0.03 and 3 defective transistors with a probability of 0.01.

At the same way, the variance V(x) is calculated as:

$V(x)=E(x^2)-(E(x))^2$

Where $E(x^2)=x_1^2*p(x_1)+x_2^2*p(x_2)+...+x_n^2*p(n)$

So, the variance V(x) is equal to:

$E(x^2)=(0^2*0.92)+(1^2*0.03)+(2^2*0.03)+(3^2*0.02)=0.33\\V(x)=0.33-(0.15)^2\\V(x)=0.3075$

Finally, the standard deviation is calculated as:

$S(x)=\sqrt{V(x)} \\S(x)=\sqrt{0.3075} \\S(x)=0.5545$

8 0

3 years ago

Read 2 more answers