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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