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University: UCK
Excel in Mathematics for Construction with our expert assignment help, designed to simplify complex calculations and enhance your understanding for a successful career in the construction industry. From algebra to geometry, we cover all essential topics to ensure you're well-prepared for the challenges ahead. Our tailored support includes guidance on structural analysis, materials science, and advanced mathematical techniques, empowering you to apply these skills effectively in real-world construction projects.
Revenue |
Number of customers (£1000) |
|
January |
July |
|
Less than 5 |
27 |
22 |
5 and less than 10 |
38 |
39 |
10 and less than 15 |
40 |
69 |
15 and less than 20 |
22 |
41 |
20 and less than 30 |
13 |
20 |
30 and less than 40 |
4 |
5 |
Solution
a) The given table can be organized in the following manner -
Revenue |
Number of customers (£1000) |
|
 |
January |
July |
0 to 5 |
27 |
22 |
5 to 10 |
38 |
39 |
10 to 15 |
40 |
69 |
15 to 20 |
22 |
41 |
20 to 30 |
13 |
20 |
30 to 40 |
4 |
5 |
The Histogram of each distribution can be calculated after converting the unequal class interval into an equal class interval â
Revenue |
Number of customers |
 |
January |
0 to 5 |
27 |
5 to 10 |
38 |
10 to 15 |
40 |
15 to 20 |
22 |
20 to 30 |
13 |
30 to 40 |
4 |
Equal class interval -
Revenue |
Number of customers |
 |
January |
0 to 10 |
27 + 38 = 65 |
10 to 20 |
40 + 22 = 62 |
20 to 30 |
13 |
30 to 40 |
4 |
From this histogram, it has been analyzed that groups 0 to 10 have the highest frequency, so, taking this class to find mode oa f data of grouped frequency in following the ing way â
Mode (z) = l + f1  â   f0       x   h
                        2 f1 â f0 - f2
Here, Â f1 is the highest frequency = 65
     f0 is the above frequency = 0 and,
     f2 is the below frequency = 62
     h is the class range = 10 and,
     l is the lower interval of mode class = 0,
So, mode the can be calculated as -
Mode (z) =Â 0 + 65 â 0Â Â Â x 10
        =  2x65 â 0 â 62
        =  0 + 65 x 10       Â
        =  130 â 62
        =  0 + 650 / 68
        =  9.55
For July month -
Revenue |
Number of customers |
 |
July |
0 to 5 |
22 |
5 to 10 |
39 |
10 to 15 |
69 |
15 to 20 |
41 |
20 to 30 |
20 |
30 to 40 |
5 |
Â
Revenue |
Number of customers |
 |
July |
0 to 10 |
22 + 39 = 61 |
10 to 20 |
69 + 41 = 110 |
20 to 30 |
20 |
30 to 40 |
5 |
From this histogram, 10 the o 20 group has high est frequency, so, taking this group as the modal class of grouped frequency, the cathode can be calculated in following the wing way-
Mode (z) = l + f1  â   f0  x h
          2 f1 â f0 - f2
here, Â f1 is the highest frequency = 110
     f0 is the above frequency = 61 and,
     f2 is the below frequency = 20
     h is the class range = 10 and,
     l is the lower interval of mode class = 10,
so, the ode can be calculated as -
Mode (z) = 10 + 110 â 61 Â x 10
          2x110 â 61 â 20
         = 10 + 49 x 10       Â
           220 â 81
         = 10 + 490 / 139
         = 13.5
b) Cumulative frequency curve or O-give curve of January data
Revenue |
Number of customers |
Less than O-give curve |
Cumulative Frequency |
More than O-give curve |
Cumulative Frequency |
 |
January |
 |
 |
 |
 |
0 to 10 |
65 |
Less than 10 |
65 |
More than 0 |
144 |
10 to 20 |
62 |
Less than 20 |
127 |
More than 10 |
79 |
20 to 30 |
13 |
Less than 30 |
140 |
More than 20 |
17 |
30 to 40 |
4 |
Less than 40 |
144 |
More than 30 |
4 |
Revenue |
Number of customers |
Cumulative frequency |
 |
January |
 |
0 to 10 |
65 |
65 |
10 to 20 |
62 |
127 |
20 to 30 |
13 |
140 |
30 to 40 |
4 |
144 |
Now, the median of the data can be calculated by -
Median (M) = l + N/2 â cf   x h
                                f
Here, N/2 = sum of total freq / 2
               = 144 / 2 = 72
so, the main class will be from 10 to 20Â
 l is the lowest interval = 10
 h is class difference = 10
 So, Median (M) = 10 + 72 â 65 x 10
                                      62
                        = 10 + 70/62
                       = 10 + 1.1 = 11.1
Cumulative frequency curve or O-give curve of July data
Revenue |
Number of customers |
Less than O-give curve |
Cumulative Frequency |
More than O-give curve |
Cumulative Frequency |
 |
July |
 |
 |
 |
 |
0 to 10 |
61 |
Less than 10 |
61 |
More than 0 |
196 |
10 to 20 |
110 |
Less than 20 |
171 |
More than 10 |
135 |
20 to 30 |
20 |
Less than 30 |
191 |
More than 20 |
25 |
30 to 40 |
5 |
Less than 40 |
196 |
More than 30 |
5 |
Â
Revenue |
Number of customers |
Cumulative frequency |
 |
July |
 |
0 to 10 |
61 |
61 |
10 to 20 |
110 |
171 |
20 to 30 |
20 |
191 |
30 to 40 |
5 |
196 |
Now, the media ian of the data can be calculated by -
Median (M) = l + N/2 â cf   x h
                                f
Here, N/2 = sum of total freq / 2
               = 196 / 2 = 98S
So, the dian class will be from 10 to 20Â
l is lowest interval = 10Â and frequency = 110
h is class difference = 10
So, Median (M) = 10 + 98 â 61 x 10
                                      110
                        = 10 + 370/110
                       = 10 + 3.4 = 13.4
 c) Mean, Range an,d Standard deviation -
January data
Revenue |
Number of customers |
X= middle term |
fx |
 |
January |
 |
 |
0 to 10 |
65 |
5 |
325 |
10 to 20 |
62 |
15 |
930 |
20 to 30 |
13 |
25 |
325 |
30 to 40 |
4 |
30 |
120 |
Total |
144 |
 |
1700 |
Mean = âfx / âf
Here, âfx is the m of the product of frequency and middle-termed âf is the total frequency
therefore, mean = 1700 / 144 = 11.8
July data
Revenue |
Number of customers |
X= middle term |
fx |
 |
July |
 |
 |
0 to 10 |
61 |
5 |
305 |
10 to 20 |
110 |
15 |
1650 |
20 to 30 |
20 |
25 |
500 |
30 to 40 |
5 |
35 |
175 |
Total |
196 |
 |
2630 |
Mean = âfx / âf
Here, âfx is the sum of the f produce ct of frequency and middle middle-termâf is tota the l frequency
therefore, mean = 2630 / 196 = 13.4
Solution
Given â Number of bulbs = 5000
Mean of lengths of life of bulb at normal distribution = 360 days
Standard deviation = 60 days
a) Assumption test if bulb life is normally distributed,
Let  H0 : μ = 360
and, H1 : μ Ãâ 360
To calculate the test statistic, let's assume that normal distribution is valid when there is no change in μ at the null of the hypothesis. As, the lue of μ is 360 days, then to perform a hypothesis test with standard deviation, then z score -
                                                     z = x¯ - μ
                                                    Ï/ân
here, let the average life value of bulthe b is 360.5 then,
                           z =  x¯- 360
                           60 / â5000
                           z = 0.59
Using, the significant level at 5% and taking a right-sided one-tailed test, α = 0.05
Z 1- α = 1.645 is obtained as a test of the test statistic Therefore,
as 0.59 < 1.645 so, test the statistic is not in the critical cal region, thus, the null hypothesis cannot be rejected. Therefore, mean the under the given assumption is normally distributed.
b) Probability
(z1 < Z < Z2)
here, z1 will be calculated at half of the standard deviation and z2 at double of standard deviation i.e.
 z1  = x¯ - μ  and,  z1  = x¯ - μ
   2Ï/ân         Ï/2ân
then,
        z1  = 0.29   and,  z2 = 1.16
B.SA simple random sample taken from a certain population is 10 people, with a mean of 27 years
the average mean is above or less than 30 years
variance is known to be 20, so standard deviation = â20 = 4.47
Hypothesis assumption -
Let  H0 : μ = 30
and, H1 : μ Ãâ 30
 z = x¯ - μ
        Ï/ân
variance,Â
so, z = 30 â 27 / 4.47â9
so, z = 2.01
At 5% sa significant level and a right-sided one-tailed test, α = 0.05
Z 1- α = 1.645,
as 2.01 > 1.645 so, test the statistic is in the critical cal region, thus, the null hypothesis is rejected. Therefore, the age of the population is not 30 years.
So, two-tailed test, Probability can be defined as {1.645 ⤠Z ⤠2.01}
at, one-tailed test -
Solution â Given equalization of wave
         x1 = 3.75 sin (100 Ï t + 2 Ï/9)            â¦.(i)
and,     x2 = 4.42 sin (100 Ï t - 2 Ï/5)              â¦.(ii)
these equations can further be written as -
         x1 = 3.75 sin (100 Ï (t + 0.002))            â¦.(iii)
and,      x2 = 4.42 sin (100 Ï (t â 0.004))              â¦.(iv)
a) Apmlitude in the first t equation is 3.75 and in Seco, the nd equation is 4.42
         Phase from the third equation is obtained as = 0.002 to the left
and,  Phase from fourth the equation is obtained as = -0.004 to the right
         Periodic times = 2 Ï / 100 Ï = 0.002.
While frequency will be 1/period
           i.e.    F = 1 / 0.002 = 500
b) When both machines are switched on, the time taken by each machine for displacement, can be calculated by -
first, differentiate equation (i) concerning -
      x1 = 3.75 sin (100 Ït + 2 Ï/9)   Â
      dx1/dt = 3.75 cos (100 Ï t + 2 Ï/9) x 100 Ï     ......... (v)
      at maximum, dx1/dt = 0
      3.75 cos (100 Ït + 2 Ï/9) x 100 Ï = 0
or,    cos (100 Ït + 2 Ï/9) = 0
      100 Ït + 2 Ï/9 = 90
      100 Ït = 90 â 2Ï/9
      t = 0.002 seconds
Now, differentiate equation (ii) concerning -
x2 = 4.42 sin (100 Ï t - 2 Ï/5)Â Â Â Â Â
dx2/dt = 4.42 cos (100 Ï t - 2 Ï/5) x 100 ÏÂ Â ...........(vi)
at maximum, dx1/dt = 0
    4.42 cos (100 Ï t - 2 Ï/5) x 100 Ï = 0  Â
or,  cos (100 Ï t - 2 Ï/5) = 0
    100 Ï t - 2 Ï/5 = 90
    100Â Ï t = 90 + 2Ï/5
    t = 0.009 secondsÂ
c) Time taken each machine when displacement recreates-2mm
   from equation ..............(v)
   dx1/dt = 3.75 cos (100 Ï t + 2 Ï/9) x 100 ÏÂ
  at -2mm,
  3.75 cos (100 Ït + 2 Ï/9) x 100 Ï = -2
   375Â Ï cos (100 Ït + 2 Ï/9) = -2
  cos (100 Ï t + 2 Ï/9) = -0.00002963
  100 Ït + 2 Ï/9 = 90.01
  100 Ït = 90.05 â 2 Ï/9
  t      = 0.0027sec
While, second machine will take -
dx2/dt = 4.42 cos (100 Ï t - 2 Ï/5) x 100 ÏÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
4.42 cos (100 Ï t - 2 Ï/5) x 100 Ï = -2
cos (100 Ï t - 2 Ï/5)Â = 0.000025138
100 Ï t - 2 Ï/5Â = 89.99
t = 0.0089 seconds
(iv) Compound angle formula for expansion of above two equations -
    x1 = 3.75 sin (100 Ï t + 2 Ï/9)          Â
using, sin (A+B)Â = sin A cos B + cos A sin B
then,
    x1 = 3.75 (sin 100 Ï t . cos 2 Ï/9 + cos 100 Ï t . sin 2 Ï/9)
or,  x1 = 3.75 ( sin 100 Ï t x 0.76 + cos 100 Ï t x 0.64)
or,   x1 = 2.85 sin 100 Ï t + 2.4 cos 100 Ï t (Ans)
similarly, sec the ond equation -
   x2 = 4.42 sin (100 Ï t - 2 Ï/5)          Â
   x2 = 4.42 (sin 100 Ï t . cos 2 Ï/5 - cos 100 Ï t . sin 2 Ï/5)
or, x2 = 4.42 ( sin 100 Ï t x 0.31 + cos 100 Ï t x 0.95)
or,  x2 = 1.3702 sin 100 Ï t + 4.199 cos 100 Ï t (Ans)Â
v) Expression of x1 and x2 in combined form -
      x1 + x2 = (2.85 sin 100 Ï t + 2.4 cos 100 Ï t) + (1.3702 sin 100 Ï t + 4.199 cos 100 Ï t)
      x1 + x2 = 4.2202  sin 100 Ï t + 6.599 cos 100 Ï t
       x1 + x2 = 6 (sin 100 Ï t + Ï/4) (Ans).Â
(i) The distance between AB
Distance between two points on The artesian plane of 3D can be calculated by
AB = â (x1 â x0)2 + (y1 â y0)2 + (z1 â z0)2
here, coordinates of A are (0, -40,0) and B are (40, 0, -20)
then, distance between AB =Â â ( 0 â 40)2 Â + (-40 â 0)2 + (0 + 20)2
                                          = â 1600 + 1600 + 400
                                          = â3600 = 60 unit.
Angle betweenÂ
Vector equation for the line passing through two points A and B with position vectors
â       â
a  and b is represented by -
â  â     â  â
 r = a + λ (b â a)
As, B (40, 0, -20)Â and C (a, b, 0)
The position of B (40, 0, -20) = ( 40Ëi + 0Ëj -20Ëk )
The position of C (a, b, 0) = ( aËi + bËj + 0Ëk )
So, â
 r = ( 40Ëi + 0Ëj -20Ëk ) + λ [  ( aËi + bËj + 0Ëk ) - ( 40Ëi + 0Ëj -20Ëk ) ]
  = ( 40Ëi + 0Ëj -20Ëk ) + λ [  (a â 40) Ëi + bËj + 20Ëk) ]
  â
Given , r = 3i + 4j + k
then, on comparing both sides abthe ove equation,
 λ = 1.05, so, a = 75 (approx) and b = 4 (approx)
Now, the angle between two lines can be calculated by                Â
cos è =     u . v  Â
        ||u||  ||v||
AB = Position of B â position vector of A
     = (40, 40, -20)
BC = Position of C â position vector of B
     = (a - 40, b, 20)
Then,
 cos è =      u . v  Â
         ||u||  ||v||
                            Â
 cos è = (40i + 40j -20k) . ((a-40)i + bj + 20k)
        â(402 + 402 + 202). â((a-40)2 + b2 + 202)
                 cos è = 40(a-40) + 40b -40
                â3600 .   â((a-40)2 + b2 + 202)
               =  2(a+b-101)              Â
                 3.â((a-40)2 + b2 + 202)
The bending moment, M of a beam is given by
M = 3000 â 550x â 20x2
Bending moment M |
variable x |
2430 |
1 |
1810 |
2 |
1170 |
3 |
480 |
4 |
-250 |
5 |
on plotting the bending moment M, as shown in the graph above, the value of x at which it becomes zero will be 4.8 approx.
(ai For determining, the maximum or minimum value of Bendithe ng Moment Function, differentiate the given equation concerning ring/dx (M) =Â d/dx (3000 â 550x â 20x2)
= â 550 â 40x
here, d/dx < 0,
so, the bending Function will attain its maximum value at -
d/dx (M)Â Â Â Â = 0
â 550 â 40x = 0
x = -13.75 or -14 approx.
now, put this value of x in bend the ing moment function, to get maxi the mum value as -
M =Â 3000 â 550 (-14) â 20(-14)2
      = 3000 + 7700 â 3920 = 6780 (ans)
b) The temperature  Ã¨ (ºC), at time t (mins) of a body is given by
                 Ã¨ = 300 + 100 e-0.1 t
value of à can be determined at the value of 0, 1, 2, and, 5 as -
at t = 0,
                Ã¨ = 300 + 100 e-0.1 x 0
                         = 300 + 100 x 1
                         = 400 ºC
at t = 1,
                Ã¨ = 300 + 100 e-0.1 x 1
                         = 300 + 100 x 0.90
                         = 390 ºC
at t = 2,
                Ã¨ = 300 + 100 e-0.1 x 2
                         = 300 + 100 x 0.81
                         = 381 ºC
at t = 5,
                Ã¨ = 300 + 100 e-0.1 x 5
                         = 300 + 100 x 0.60
                         = 360 ºC
Temperature (ºC) |
Time (t) |
400 |
0 |
390 |
1 |
381 |
2 |
360 |
5 |
c) In a thermodynamic system, the related tionship between pressure (P), Volume (V), and, constant C is given by,
      log (P) + n log (V) â log (C)
to show that PVn  = C
Let,   log (P) + n log (V) â log (C) = 0
      log (P) + n log (V) = log (C)
using product rule, i.e. log (a x b) = log a + log b
           log (PVn) = log (C)
      PVn = C   Hence Proved.
Now, to determine the rate of the f change of V when value the of P changes from 10N/m2 from 60 to 100N/m2 with variable n = 2, differentiate the above equation with concerning-
d/dV PVn = d/dv C
dP/dV Vn + nVn-1 .P = 0Â
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