How do make a percent a fraction

Square had a radius of 5 square root 2 find the apothem

Karo-lina-s [1.5K]

Answer:

Apothem = 5 inches

(circum)radius = 5*sqrt(2) inches

Step-by-step explanation:

6 0

2 years ago

G(-3) if g(x)=2x-4 show your work

stiks02 [169]

Answer:

g(-3) = -10

Step-by-step explanation:

All you have to do is plug -3 in for x!

g(-3) = 2(-3) - 4

g(-3) = -6 - 4

g(-3) = -10

3 0

2 years ago

A golfer attempts to hit a golf ball over a valley from a platform above the groun

leonid [27]

Answer: NO

Step-by-step explanation:

The functions that models the height of the ball is given as

h(t) = -5t2 + 40t + 100

Where

a = -5, b = 40, c = 100

The time the ball will reach the maximum height will be the vertex of the parabola. At the line of symmetry, the time t will be:

t = -b/2a

Substitute b and a into the formula above.

t = - 40 / -5 = 8

Substitute 8 for t in the function f(t)

h(t) = - 5(8)^2 + 40(8) + 100

h(t) = -5(64) + 40(8) + 100

Open the bracket

h(t) = -320 + 320 + 100

h(t) = 100

The maximum height of the ball is 100m

Given that the power lines is 185 metres above the ground. The golf ball will therefore not hit power lines because the maximum height the ball can go is 100 metres

3 0

3 years ago

In a regression class, a student suggested the following: If extremely influential outlying cases are detected in a data set, si

mel-nik [20]

Answer:

Discarding the influential outlying cases when detected is also known as flagging outliers in a data set, and this is because outliers do not follow the rest of the dataset's pattern. if this outliers are not discarded they would have a negative effect on any model attached to the dataset

Step-by-step explanation:

In a regression class ; If extremely influential outlying cases are detected in a Data set, discarding this influential outlying cases is the right way to go about it

Discarding the influential outlying cases when detected is also known as flagging outliers in a data set, and this is because outliers do not follow the rest of the dataset's pattern. if this outliers are not discarded they would have a negative effect on any model attached to the dataset

6 0

2 years ago

Solve each equation. 1. 25 - 3x = 40 2. } (x – 10) = -4

nordsb [41]

Step-by-step explanation:

For no 1

25 - 3x = 40 

- 3x = 40 - 25 

- 3x = 15 

 - x = 15 / 3

Therefore x = - 5 

Now for no. 2

1/3 ( x - 10) = - 4 

( x - 10 ) = - 12 

x = - 12 + 10

Therefore x = - 2 

Hope it will help :)

6 0

2 years ago

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