63×8 =504 because you are using repeated addition r just regular multiplication
(-5, 2)(-9,9)
D = √( (x2 - x1)^2 + (y2 - y1)^2 )
D = √( (-9+5)^2 + (9 - 2)^2 )
D =√( (-4)^2 + (7)^2 )
D = √( 16 + 49 )
D = √65
D = 8
Sin angle that equals the 1/2 value is the 30 degree on the 1st Quadrant.
The angle of 30 degree on the 3rd Quadrant is equivalent to (formula and circle in the 1st photo) 180 + 30 = 210°.
So theta = 210° (3rd Quadrant) = 30° (1st Quadrant).

Now just transfer the cos 30° to the 3rd Quadrant and the signal will be negative (as shown in the 2nd photo attached).
Answer:
it is correct
Step-by-step explanation:
Answer:
a.
b.
\
c.
Step-by-step explanation:
Let
are the events that denotes the good drive, medium drive and poor risk driver.

Let A be the event that denotes an accident.



The company sells Mr. Brophyan insurance policy and he has an accident.
a.We have to find the probability Mr.Brophy is a good driver
Bayes theorem,
We have to find 
Using the Bayes theorem

Substitute the values then we get


b.We have to find the probability Mr.Brophy is a medium driver

c.We have to find the probability Mr.Brophy is a poor driver
