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Proposed Guide UACE Mtc2

1. The document discusses applied mathematics concepts including calculating driving force, mean, variance, integration, probability, velocity, correlation, and kinematics. 2. Key calculations include finding the driving force required to move an object up an incline, determining the mean and variance of a data set, integrating a function, and solving kinematics problems involving velocity and acceleration. 3. Various applied mathematics topics are covered including mechanics, statistics, calculus, and probability.
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0% found this document useful (0 votes)
87 views11 pages

Proposed Guide UACE Mtc2

1. The document discusses applied mathematics concepts including calculating driving force, mean, variance, integration, probability, velocity, correlation, and kinematics. 2. Key calculations include finding the driving force required to move an object up an incline, determining the mean and variance of a data set, integrating a function, and solving kinematics problems involving velocity and acceleration. 3. Various applied mathematics topics are covered including mechanics, statistics, calculus, and probability.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Applied mathematics

1.
𝑅 𝐹𝐷

𝑚𝑔𝑠𝑖𝑛𝜃
𝜇𝑅 𝑚𝑔𝑐𝑜𝑠𝜃
𝑚𝑔
𝜃
From Newton’s second law, 𝐹 = 𝑚𝑎
But 𝐹 = 𝐹𝐷 − (𝑚𝑔𝑠𝑖𝑛𝜃 + 𝜇𝑅)
1
𝑚𝑎 = 𝐹𝐷 − (1500𝑥9.8𝑥𝑠𝑖𝑛𝜃 + 𝑥1500𝑥9.8𝑥𝑐𝑜𝑠𝜃)
4
3 √7
But, 𝑠𝑖𝑛𝜃 = , 𝑐𝑜𝑠𝜃 =
4 4
At steady speed, acceleration, 𝑎 = 0𝑚𝑠 −1
3 1 √7
𝐹𝐷 = 1500𝑥9.8𝑥 + 𝑥1500𝑥9.8𝑥
4 4 4
𝐹𝐷 = 13455.7840𝑁
Therefore the driving force is 13455.7840N 5 marks
2
𝑥 𝑓 𝑓𝑥 𝑓𝑥 2
1 41 41 41
2 33 66 132
3 18 54 162
4 6 24 96
5 2 10 50
∑ 𝑓 = 100 ∑ 𝑓𝑥 = 195 ∑ 𝑓𝑥 2 = 481

(a) ∑ 𝑓𝑥
From mean, 𝑥̅ = ∑𝑓
195
𝑥̅ =
100
𝑥̅ = 1.95
(b) ∑ 𝑓𝑥 2
From variance,𝑣𝑎𝑟(𝑥) = ∑𝑓
− (𝑥̅ )2
481
𝑣𝑎𝑟(𝑥) = − (1.95)2
100
𝑣𝑎𝑟(𝑥) = 1.0075
5 marks
3 Since given is the number of ordinates, to get the number of sub-
intervals we subtract a one.
2−0 1 1
ℎ= = , and 𝑓(𝑥) = 2
6 3 3+4𝑥

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Applied mathematics

𝑥 1 1
𝑓 (𝑥 ) = 𝑓 (𝑥 ) =
3 + 4𝑥 2 3 + 4𝑥 2
0 0.3333
1 0.2903
3
2 0.2093
3
1 0.1429
4 0.0989
3
5 0.0707
3
2 0.0526
𝑠𝑢𝑚 0.3859 0.8121
2 1 1
From ∫0 𝑑𝑥 ≈ ℎ[(𝑓(𝑥)) + 2(𝑓(𝑥))]
3+4𝑥 2 2
2 1 1 1
∫0 3+4𝑥2 𝑑𝑥 ≈ 𝑥 [(0.3859) + 2(0.8121)]
2 3
2 1
∫0 3+4𝑥2 𝑑𝑥 ≈ 0.335 (3𝑑𝑝𝑠)
5 marks
4

𝑅 𝑇
𝑎
𝑇

5𝑔𝑠𝑖𝑛300
𝜇𝑅 5𝑔𝑐𝑜𝑠300 3𝑔
5𝑔
300
𝑇 = 3𝑔 = 3𝑥9.8 = 29.4𝑁
𝑇 = 3𝑔𝑠𝑖𝑛300 + 𝜇𝑅
But, 𝑅 = 𝑚𝑔𝑐𝑜𝑠300
𝑇 = 3𝑔𝑠𝑖𝑛300 + 𝜇𝑥𝑚𝑔𝑐𝑜𝑠300
29.4 = 3𝑥9.8𝑥𝑠𝑖𝑛300 + 𝜇𝑥5𝑥9.8𝑥𝑐𝑜𝑠300
𝜇 = 0.3464
Therefore the coefficient of friction between the two surfaces in
contact is 0.3464 5 marks
1 7 1
5 𝑃(𝐴) = , 𝑃 (𝐵) = , 𝑃(𝐴̅𝑛𝐵) =
2 12 2
𝑃(𝐵̅𝑛𝐴) = 𝑃 (𝐴) − 𝑃(𝐴𝑛𝐵)
But, 𝑃(𝐴̅𝑛𝐵 ) = 𝑃(𝐵) − 𝑃(𝐴𝑛𝐵)
1 7
= − 𝑃(𝐴𝑛𝐵)
2 12

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Applied mathematics

1 7 1
𝑃(𝐴𝑛𝐵) = − =
2 12 12
1 1 5
 Therefore, 𝑃(𝐵̅𝑛𝐴) = − = 5 marks
2 12 12
6 Extract,
97 105 𝑥
78 85 92
𝑥−97 108−97
=
92−78 85−78
𝑥 = 113
Therefore 113dollars are equivalent to 92 Euros
Extract,
79 85 97
64 𝑦 78
𝑦−64 78−64
=
85−79 97−79
𝑦 = 68.667
Therefore 69 Euros are equivalent to 85 dollars 5 marks
7

𝑣𝑟 = 3𝑚𝑠 −1
50𝑚
3𝑚𝑠 −1
𝑣𝑏 =? ?

(a) Velocity of the boat relative to the river,


𝑏𝑣𝑟 = 𝑣𝑏 − 𝑣𝑟
4 = 𝑣𝑏 − 3
𝑣𝑏 = 1𝑚𝑠 −1

(b) 𝑑 = 𝑣𝑥𝑡
50 = 1𝑥𝑡
𝑡 = 50𝑠𝑒𝑐𝑜𝑛𝑑𝑠 5 marks
8
(a) 𝑃(𝑅 𝑟𝑒𝑚𝑜𝑣𝑒𝑑 𝑓𝑟𝑜𝑚 𝐵) = 𝑃(𝑅1 𝑛𝑅2 ) + 𝑃(𝐵1 𝑛𝑅2 )
7 6 4 5
= 𝑥 + 𝑥
11 14 11 14
31
𝑃(𝑅 𝑟𝑒𝑚𝑜𝑣𝑒𝑑 𝑓𝑟𝑜𝑚 𝐵) =
77
4 5
𝐵 𝑃(𝐵1 𝑛𝑅) 𝑥 10
(b) 𝑃 ( 1⁄𝑅 ) = = 11 14
31 = 31
𝑃(𝑅)
77
5 marks

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Applied mathematics

9 (a)

63 in test 1 corresponds to 72 in test 2.


(b)(i)
𝑅𝑇1 𝑅𝑇1 𝑑 𝑑2
4 1 3 9
3 4 -1 1
5 6 -1 1
1.5 3 -1.5 2.25
7 8 -1 1
6 6 0 0
1.5 2 -0.5 0.25
8 6 2 4
∑ 𝑑 2 = 18.5
6 ∑ 𝑑2
From, 𝜌 = 1 −
8(82 −1)
6(18.5)
𝜌 =1− = 0.7798
8(82 −1)

(ii) Significant at 5%

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Applied mathematics

10 (a) 𝑟0 = (2𝑖 − 2𝑗 + 8𝑘 )𝑚
𝐹 = (4𝑡𝑖 + 𝑡 2 𝑗 + 5𝑘 )
From, 𝐹 = 𝑚𝑎
(4𝑡𝑖 + 𝑡 2 𝑗 + 5𝑘 ) = 4𝑎
1
𝑎 = (4𝑡𝑖 + 𝑡 2 𝑗 + 5𝑘 )
4
𝑡2 5
𝑎 = (𝑡𝑖 + 𝑗 + 𝑘) 𝑚𝑠 −2
4 4

(b) From, 𝑎 = 𝑑𝑣
𝑑𝑡
∫ 𝑑𝑣 = ∫ 𝑎𝑑𝑡
3
𝑣 = ∫0 𝑎𝑑𝑡
3 𝑡2 5
𝑣 = ∫0 (𝑡𝑖 + 𝑗 + 𝑘) 𝑑𝑡
4 4
𝑡2 𝑡3 5𝑡 3
𝑣 = ( 𝑖 + 𝑗 + 𝑘)|
2 12 4 0
32 33 5(3) 02 03 5(0)
𝑣=( 𝑖+ 𝑗+ 𝑘) − ( 𝑖 + 𝑗 + 𝑘)
2 12 4 2 12 4
9 27 15 −1
𝑣=( 𝑖+ 𝑗+ 𝑘) 𝑚𝑠
2 12 4

𝑑𝑟
(c) From, 𝑣 = 𝑑𝑡
𝑟 = ∫ 𝑣𝑑𝑡
𝑡2 𝑡3 5𝑡
𝑟(𝑡) = ∫ ( 𝑖 + 𝑗+ 𝑘) 𝑑𝑡
2 12 4
𝑡3 𝑡4 5𝑡 2
𝑟(𝑡) = ( 𝑖 + 𝑗 + 𝑘) + 𝑐
6 48 8
where 𝑐 is a constant of integration
But; at 𝑡 = 0, 𝑟𝑜 = 2𝑖 − 2𝑗 + 3𝑘, 𝑐 = 2𝑖 − 2𝑗 + 3𝑘
𝑡3 𝑡4 5𝑡 2
𝑟(𝑡) = ( 𝑖 + 𝑗+ 𝑘) + (2𝑖 − 2𝑗 + 3𝑘 )
6 48 8
𝑡 3 +2 𝑡 4 −2 5𝑡 2 +3
𝑟(𝑡) = ( 𝑖+ 𝑗+ 𝑘)|
6 48 8 𝑡=3
33 +2 34 −2 5(3)2 +3
𝑟(𝑡) = ( 𝑖+ 𝑗+ 𝑘)
6 48 8
13 5 69
𝑟(𝑡=3) = ( 𝑖 − 𝑗+ 𝑘)𝑚
2 16 8

𝑥
11 (a) Let,𝑚 = , if the 𝑀 is used to approximate 𝑚 with small change ∆𝑚
𝑦
(𝑋+∆𝑥)
then, (𝑀 + ∆𝑚) = (𝑌+∆𝑦)
𝑋+∆𝑥
∆𝑚 = −𝑀
𝑌+∆𝑦
𝑋+∆𝑥 𝑋
∆𝑚 = −
𝑌+∆𝑦 𝑌
𝑌(𝑋+∆𝑥)−𝑋(𝑌+∆𝑦)
∆𝑚 =
𝑌(𝑌+∆𝑦)
𝑌∆𝑥−𝑋∆𝑦
∆𝑚 = ∆𝑦
𝑌 2 (1+ )
𝑌

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Applied mathematics

∆𝑦
Since, ∆𝑦 ≪ 𝑦 then, ≈0
𝑌
𝑌∆𝑥−𝑋∆𝑦
∆𝑚 =
𝑌2
𝑌∆𝑥−𝑋∆𝑦
[ ∆𝑦 ]
∆𝑚 𝑌2 (1+ )
𝑌
= 𝑋
𝑀
𝑌
∆𝑚 𝑌∆𝑥−𝑋∆𝑦
=
𝑀 𝑌𝑋
∆𝑚 ∆𝑥 ∆𝑦
= −
𝑀 𝑋 𝑌
∆𝑚 ∆𝑥 ∆𝑦
| |=| − |
𝑀 𝑋 𝑌
∆𝑚 ∆𝑥 ∆𝑦
| |≤| |+| |
𝑀 𝑋 𝑌
𝑥 ∆𝑥 ∆𝑦
Therefore the relative error in approximating is | | + | |
𝑦 𝑋 𝑌

673.16
(b) From, 𝑇 =
40.345
Let 𝑥 = 673.16, 𝑦 = 40.345
then,
∆𝑥 = 0.5𝑥10−2 = 0.005, ∆𝑦 = 0.5𝑥10−3 = 0.0005
673.16+0.005
𝑢𝑝𝑝𝑒𝑟 𝑙𝑖𝑚𝑖𝑡 = = 16.6854
40.345−0.0005
673−0.005
𝑙𝑜𝑤𝑒𝑟 𝑙𝑖𝑚𝑖𝑡 = = 16.6848
40.345+0.0005
Therefore the interval within which the exact value of T can be
expected to lie is [16.6848, 16.6854]

12 (a) 𝑘𝑥 2 ; 𝑥 = 1,2,3
From 𝑓 (𝑥) = { 𝑘(7 − 𝑥)2 ; 𝑥 = 4,5,6
0; 𝑒𝑙𝑠𝑒 𝑤ℎ𝑒𝑟𝑒
(i) 𝑥 1 2 3 4 5 6
𝑃(𝑋 = 𝑥) 𝑘 4𝑘 9𝑘 9𝑘 4𝑘 𝑘

From, ∑𝑎𝑙𝑙 𝑥 𝑃 (𝑋 = 𝑥) = 1
(𝑘 + 4𝑘 + 9𝑘 ) + (9𝑘 + 4𝑘 + 𝑘 ) = 1
28𝑘 = 1
1
𝑘=
28

(ii) 𝑥 1 2 3 4 5 6
𝑃(𝑋 = 𝑥) 1 4 9 9 4 1
28 28 28 28 28 28

From, 𝐸 (𝑥) = ∑𝑎𝑙𝑙 𝑥 𝑥𝑃(𝑋 = 𝑥)


1 4 9 9 4 1
𝐸 (𝑥) = 1 ( ) + 2 ( ) + 3 ( ) + 4 ( ) + 5 ( ) + 6 ( ) = 3.5
28 28 28 28 28 28

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Applied mathematics

(iii) From, 𝑣𝑎𝑟(𝑥) = 𝐸 (𝑥 2 ) − ((𝐸(𝑥)2 )


But, 𝐸 (𝑥 2 ) = ∑𝑎𝑙𝑙 𝑥 𝑥 2 𝑃(𝑋 = 𝑥)
1 4 9 9 4 1
𝐸 (𝑥 2 ) = 1 ( ) + 4 ( ) + 9 ( ) + 16 ( ) + 25 ( ) + 36 ( )
28 28 28 28 28 28
𝐸(𝑥 2 ) = 13.5
𝑣𝑎𝑟(𝑥) = 13.5 − ((3.52 )
𝑣𝑎𝑟(𝑥) = 1.25

(b)
𝑥 1 2 3 4 5 6
𝑃(𝑋 = 𝑥) 1 4 9 9 4 1
28 28 28 28 28 28
𝐹 (𝑥) = 𝑃(𝑋 ≤ 𝑥) 1 5 14 23 27 1
28 28 28 28 28

𝐹(𝑥)

1
27
28
23
28
14
28
5
28
1
28

0 𝑥
0 1 2 3 4 5 6

13 (a)
D 3N C
√2N
4N 2N

2√2𝑁

A B
2N
2𝑚

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Applied mathematics

Resolving horizontally,
𝐹𝑥 = 2 + 3 + 2√2𝑐𝑜𝑠450 + √2𝑐𝑜𝑠450 = 8𝑁
Resolving vertically,
𝐹𝑦 = 4 + 2 + 2√2𝑠𝑖𝑛450 + √2𝑠𝑖𝑛450 = 7𝑁
8
𝐹⃗𝑅 = [ ]
7
7𝑁

𝐹𝑅

𝜃
8N
⃗⃗⃗⃗⃗
|𝐹 2
𝑅 | = √(𝐹𝑥 ) + (𝐹𝑦 )
2

⃗⃗⃗⃗⃗
|𝐹 2 2
𝑅 | = √(8) + (7) = 10.6301𝑁
𝐹𝑦 7
From, 𝜃 = 𝑡𝑎𝑛−1 ( ) = 𝑡𝑎𝑛−1 ( ) = 41.20
𝐹𝑥 8
Therefore the resultant force is 10.6301N and acts at 41.20 above the
positive x-axis.

(b) 𝐹𝑥 𝐹𝑦
From, | |=𝐺
𝑥 𝑦
8 7
| |=𝐺
𝑥 𝑦
√8
Taking moments about A. 𝐺 = 3𝑥2 − 2𝑥2 + (√2)𝑥 = 4𝑁𝑚
2
8 7
| |=4
𝑥 𝑦
8𝑦 − 7𝑥 = 4
Therefore the equation of line of action of the resultant force is; 8𝑦 −
7𝑥 = 4

14 (a) (ii) To calculate the tax paid (T) in dollars based on the amount (A)
earned after 200 iterations.

(b) N A T
1 1500 0
2 3500 70

3 9000 260

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Applied mathematics

(a) (i)
START

𝑁=1

READ, A

𝐼𝑠
YES
𝐴 < 2000? T=0

NO
𝐼𝑠
YES 2𝐴
𝐴 ≤ 5000? 𝑇=
100
𝑁 =𝑁+1

NO
5
𝑇 = 60 + (𝐴 − 5000)
100

NO 𝐼𝑠

𝑁 = 200?

YES

PRINT: T, A

STOP

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Applied mathematics

15 (a) 𝜇 = 600𝑔, 𝜎 = 20𝑔


7
𝑃 (𝑋 > 𝑥 ) =
100
𝑥−𝜇 0.43
𝑃 (𝑍 > ) = 0.07
𝜎
0.07

𝑥−600 𝜇=0 𝑥 − 600


= 1.476 20
20
𝑥 = 20𝑥 (1.476) + 600
𝑥 = 629.52𝑔

(b) 𝑛 = 1000
𝑃(𝑋 < 545)
545−600
𝑃 (𝑍 < )
20
𝑃(𝑍 < −2.75) = 2.98𝑥10−3
Number of packets that weighed less than 545g is;
2.98𝑥10−3 𝑥1000 = 2.98 ≈ 3packets

16 (a)
𝑦 49𝑚𝑠 −1
49𝑚𝑠 −1

ℎ𝑚
300
0
30
0
0 1 𝑑1 𝑥
From, 𝑠 = 𝑢𝑡 + 𝑎𝑡 2 𝑑2
2
1
For P, 𝑠 = (49𝑠𝑖𝑛300 )(𝑡 ) − 𝑥9.8𝑥𝑡 2
2
1
For Q, 𝑠 = (49𝑠𝑖𝑛30 𝑡 − 2) − 𝑥9.8𝑥(𝑡 − 2)2
0 )(
2
At the point they met, they had travelled the same distance, therefore;
1 1
(49𝑠𝑖𝑛300 )(𝑡 ) − 𝑥9.8𝑥𝑡 2 = (49𝑠𝑖𝑛300 )(𝑡 − 2) − 𝑥9.8𝑥(𝑡 − 2)2
2 2
68.6 = 19.6𝑡
𝑡 = 3.5𝑠𝑒𝑐𝑜𝑛𝑑𝑠
1
ℎ = (49𝑠𝑖𝑛300 )(3.5) − 𝑥9.8𝑥3.52 = 25.725𝑚
2
Therefore the two met at 25.725m from the start.

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Applied mathematics

(b) Distance between A and B is 𝑑 = 𝑑1 + 𝑑2


1
From, 𝑠 = 𝑢𝑡 + 𝑎𝑡 2
2
Horizontally there is no acceleration.
𝑑1 = (49𝑠𝑖𝑛300 )(3.5) = 85.75𝑚
𝑑2 = (49𝑠𝑖𝑛300 )(3.5 − 3) = 36.75𝑚
𝑑 = 85.75 + 36.75 = 122.5𝑚
Therefore the distance between A and B is 122.5m

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