Answer:
A1 / B1 ;
(D1 - A1) / B1 ;
(A1 - E1*A1) / B1
Step-by-step explanation:
A1 = original price of car
B1 = annual Depreciation amount
Number of years it will take for the car to depreciate totally :
Using the straight line Depreciation relation :
y = mx + c
c = intercept = initial or original value of car
m = annual Depreciation amount
x = number of years
y = value after x years
For total Depreciation, final value, y = 0
0 = mx + c
mx = - c
x = - c / m
Hence, x = A1 / B1
B.)
D1 = car value
Length it will take for car to depreciate to value in D1 :
y = mx + c
y = D1; m = B1 ; c = A1
D1 = B1x + A1
B1x = D1 - A1
x = (D1 - A1) / B1
C.)
E1 = decrease percentage
Time it takes for car to decrease by percentage in E1
y = E1 * A1
E1 * A1 = B1x + A1
(A1 - E1*A1) = B1x
x = (A1 - E1*A1) / B1
U use sin
sin50 = b/10
b=10(0.76)
b=7.6
Answer:
x^2 -x -2 = (x -2)(x +1)
Step-by-step explanation:
To factor x^2 -x -2, you look for factors of -2 that have a sum of -1:
-2 = (-1)(2) = (1)(-2) . . . . . the latter pair has a sum of -1
Then these are the constants in the binomial factors:
x^2 -x -2 = (x +1)(x -2)
_____
<em>Comment on the question</em>
The fact that x^2 +3x -4 is modeled with algebra tiles seems to be irrelevant to the question that is actually asked.
Answer:
The 99% confidence interval of the population standard deviation is 1.7047 < σ < 7.485
Step-by-step explanation:
Confidence interval of standard deviation is given as follows;

s =
Where:
= Sample mean
s = Sample standard deviation
n = Sample size = 7
χ = Chi squared value at the given confidence level
= ∑x/n = (62 + 58 + 58 + 56 + 60 +53 + 58)/7 = 57.857
The sample standard deviation s =
= 2.854
The test statistic, derived through computation, = ±3.707
Which gives;


1.7047 < σ < 7.485
The 99% confidence interval of the population standard deviation = 1.7047 < σ < 7.485.
Answer:
The probability that a randomly selected component needs rework when it came from line A₁ is 0.3623.
Step-by-step explanation:
The three different assembly lines are: A₁, A₂ and A₃.
Denote <em>R</em> as the event that a component needs rework.
It is given that:

Compute the probability that a randomly selected component needs rework as follows:

Compute the probability that a randomly selected component needs rework when it came from line A₁ as follows:

Thus, the probability that a randomly selected component needs rework when it came from line A₁ is 0.3623.