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
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.
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
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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