All categories

2 years ago

Which of the following has a growth rate of 60%? (no links please)

Mathematics

1 answer:

Doss [256]2 years ago

7 0

Answer:

Step-by-step explanation:

You might be interested in

Find the arc length of ABC .

Salsk061 [2.6K]

Answer:

Step-by-step explanation:

Since the radius of the circle is 12 units, we can calculate the circumference.

2 * pi * r = 2 * pi * 12 = 24 * pi = 24pi.

The arc angle is 240 degrees, and the whole circle would be 360 degrees. So, we can set up an equation.

$\frac{24\pi }{360} =\frac{x}{240}$

$\frac{24\pi }{6} =\frac{x}{4}$

$\frac{4\pi }{1} =\frac{x}{4}$

1 * x = 4 * 4 * pi

x = 16pi

So, your answer is C.

Hope this helps!

4 0

2 years ago

Vertex A in quadrilateral ABCD lies at (-3, 2). If you rotate ABCD 180° clockwise about the origin, what will be the coordinates

Leni [432]

Answer:

A. (3, -2)

Step-by-step explanation:

A 180° rotation about the origin places an object in the quadrant diagonal to the one it started in. Moving the object two 90° turns, will place it in a coordinate that will make the values of 'x' and 'y' opposite to the initial value. In this case, vertex A has an initial point of (-3, 2), so after a 180° rotation, it would be (3, -2).

5 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:

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