A Six Sigma expert observes rising complaints in a textile company about cotton fabric, especially concerning its shrinkage. He tries to improve the production process that happens in three shifts daily. He records the shrinkage (in mm) by testing a sample of 5 shirts from every shifts production to understand the process and keep it under control. Based on the customer requirements, the company has set a specification range from 75 to 185. The following table presents 20 samples, each of five pieces produced by this process.

Sample No.	1	2	3	4	5
1	138.10	110.80	138.70	137.40	125.40
2	149.30	142.10	105.00	134.00	92.30
3	115.90	135.60	124.20	155.00	117.40
4	118.50	116.50	130.20	122.60	100.20
5	108.20	123.80	117.10	142.40	150.90
6	102.80	112.00	135.00	135.00	145.80
7	120.40	84.30	112.80	118.50	119.30
8	132.70	151.10	124.00	123.90	105.10
9	136.40	126.20	154.70	127.10	173.20
10	135.00	115.40	149.10	138.30	130.40
11	139.60	127.90	151.10	143.70	110.50
12	125.30	160.20	130.40	152.40	165.10
13	145.70	101.80	149.50	113.30	151.80
14	138.60	139.00	131.90	140.20	141.10
15	110.10	114.60	165.10	113.80	139.60
16	145.20	101.00	154.60	120.20	117.30
17	125.90	135.30	121.50	147.90	105.00
18	129.70	97.30	130.50	109.00	150.50
19	123.40	150.00	161.60	148.40	154.20
20	144.80	138.30	119.60	151.80	142.70

Trial control limits are established first and they are revised after making necessary corrections in the process. 10 new samples collected were examined with the revised control limits.

Sample No.	1	2	3	4	5
21	131.00	184.80	182.20	143.30	212.80
22	181.30	193.20	180.70	169.10	174.30
23	154.80	170.20	168.40	202.70	174.40
24	157.50	154.20	169.10	142.20	161.90
25	216.30	174.30	166.20	155.50	184.30
26	186.90	180.20	149.20	175.20	185.00
27	167.80	143.90	157.50	171.80	194.90
28	178.20	186.70	142.40	159.40	167.60
29	162.60	143.60	132.80	168.90	177.20
30	172.10	191.70	203.40	150.40	196.30

Further, 10 samples collected were examined for control with the revised control limits established with the first 20 samples.

Sample No.	1	2	3	4	5
31	131.50	143.10	118.50	103.20	121.60
32	111.00	127.30	110.40	91.00	143.90
33	129.80	98.30	134.00	105.10	133.10
34	145.20	132.80	106.10	131.00	99.20
35	114.60	111.00	108.80	177.50	121.60
36	125.20	86.40	64.40	137.10	117.50
37	145.90	109.50	84.90	129.80	110.60
38	123.60	114.00	135.40	83.20	107.60
39	85.80	156.30	119.70	96.20	153.00
40	107.40	148.70	127.40	125.00	127.50

Prepare your analysis based on the above data and solve it with answer