Considering the question, we can select
any value for a and b
![](data:image/png;base64,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)
13. Choose any value for π
to synthetic division divide 2x3 β x2 + x + 4 by (x +k) by
synthetic division
![](data:image/png;base64,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)
|
Steps
|
Outcomes
|
Step
1
|
Coefficient
of the numerator polynom
|
|
Step 2
|
Finding the zeros of the denominator as x = -2 and then
writing the problem in the synthetic format.
|
|
Step
3
|
Carrying
down the leading coefficient unchanged and then below the division symbol.
|
|
Step 4
|
Multiply the carry down value by the zero of the denominators
and then the results are added to the next column.
|
|
Step5
|
Adding
down to the column
|
|
Step 6
|
Multiplying the carry down values and then adding the results
in the next column as (-5)(-2)=10 and then adding to the next column it give
1 +10 = 11
|
|
Step
7
|
Multiplying
the next carry down values with the zero and then adding to next column as
11(-2) = -22. Adding down to the
column as 8-22=-14
|
|
Step 8
|
The last carry down value of the synthetic division is
remainder that is -14 therefore the results of the polynomial synthetic
division becomes
|
![](file:///C:/Users/ABC/AppData/Local/Temp/msohtmlclip1/01/clip_image018.png)
|
14. Give three examples of
system of linear equations that has
a. Unique solution
b. No solution
c. Infinitely many solutions
a.
A linear system of the equations can consider as to be consistent if
there is at least one solution and if there is no solution then it will be
inconsistent. For the consistent linear system there are two conditions that
the equation hold unique solution and have infinite number of solutions. The
system of linear equations cannot have exactly three solutions, but two
equations are linear and two unknown variables are there that intersect at a single
point.
![](data:image/png;base64,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)
Solving the equations
simultaneously give the solution of the system and if the system has an
infinite number of solutions it will be based on t = 0,
t = 4, t =-2
Solution gives
![](data:image/png;base64,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)
The linear equation
with the unique solution such as
and
will have a unique solution as both lines will
interest at a single point. The lines are neither parallel nor coincident.
b.
The
linear equations that represent two y
= 4x + 2 and y
= 4x + 5 are two equations that have same slope
and different points for the y- axis. These lines are parallel to each other
and never cross. Since these two lines are parallel and they will never
intersect each other therefore system has no solutions.
c.
The
complex linear equations have infinite number of solutions such as
![](data:image/png;base64,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)
15. Give example of
a. Arithmetic progression with
common different 3.
![](data:image/png;base64,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)
b. Geometric sequence with first
term 1.
![](data:image/png;base64,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)
16. Choose any value for π
> 1 to solve the following problem
Medical research indicates that
the risk of having a car accident increases exponentially as the concentration
of alcohol in the blood increases.
This is modelled using π
(π₯)
= π(3π₯) Where π
(π₯)
is the risk and π₯ is the alcohol blood
concentration.
(a)
If the alcohol blood concentration is
0.06 , find the risk of having a car accident.
Recent research suggest that the
relative risk R for having an accident while driving the car can be measured by
the modeled equation as
![](data:image/png;base64,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)
Now consider the
concentration of alcohol in the blood as 0.06 that is x and we can measure the
value of R by solving the equation for k if we suppose the value of k greater
then 1.
Suppose
![](data:image/png;base64,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)
(b) If the risk of having a car
accident is 5, what should be the alcohol blood concentration?
![](data:image/png;base64,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)
At the risk level 5,
the concentration of alcohol in the blood will be 0.833.