Question

In: Mechanical Engineering

For the stress data given below with the nearest error of 1: 27-17-11-24-36-13-29-22-18 23-30-12-46-17-32-48-11-18 18-32-26-24-38-24-15-13-13 18-21-27-20-16-15-37-19-19...

For the stress data given below with the nearest error of 1:

27-17-11-24-36-13-29-22-18

23-30-12-46-17-32-48-11-18

18-32-26-24-38-24-15-13-13

18-21-27-20-16-15-37-19-19

a) Construct a frequency distribution table.

b) Construct the three types of statistical graphs.

c) Determine the (1) Mean, (2) Median, (3) Mode, (4) Range,

Variance, and (6) Standard Deviation.

Solutions

Expert Solution

Given Data distribution

27 17 11 24 36 13 29 22 18
23 30 12 46 17 32 48 11 18
18 32 26 24 38 24 15 13 13
18 21 27 20 16 15 37 19 19
Max 48
Min 11
range Max-Min 37
Lets take n 7
Class width = Range / n 5.285714 6

Frequency table

Class limits Tally Frequency
11-16 1+1+1+1+1+1+1+1+1 9
17-22 1+1+1+1+1+1+1+1+1+1+1 11
23-28 1+1+1+1+1 5
29-34 1+1+1 3
35-40 1+1 2
41-46 1 1
47-52 1 1

Three types of graphs are

  1. Bar graph
  2. Pie graph
  3. Line graph

Bar graph of given data.

Pie graph

Line graph

Scatter plot of all date

Mean of given data = sum of all values / N = 829 / 36 = 23.0278

Mode is the higest repeated number is 18

Median

l = 29

C = 9+11+5 = 25

f= 3

h=n=6

N =36

29 + ((36/2) -25) / 3 * 6 = 29-14 = 15

Range already calculated

Max - min = 37

Variance (S2) = average squared deviation of values from mean

(x-mu)^2
27 15.77855
17 36.3341
11 144.6674
24 0.945216
36 168.2785
13 100.5563
29 35.66744
22 1.056327
18 25.27855
23 0.000772
30 48.61188
12 121.6119
46 527.723
17 36.3341
32 80.50077
48 623.6119
11 144.6674
18 25.27855
18 25.27855
32 80.50077
26 8.834105
24 0.945216
38 224.1674
24 0.945216
15 64.44522
13 100.5563
13 100.5563
18 25.27855
21 4.111883
27 15.77855
20 9.167438
16 49.38966
15 64.44522
37 195.223
19 16.22299
19 16.22299
Mean 23.02777778
Sum 3138.972
n-1 = 36-1 35
Var = 3138.972/35 89.68492
SD Sqrt(var) 9.470212

Variance = 89.68

Standard deviation = 9.47

Thanks

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Please don't forget to press the like button

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