Question

In: Statistics and Probability

Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up...

Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up to produce a large run of resistors of 1,000 ohms each. Use Exhibit 10.13.

To set up the machine and to create a control chart to be used throughout the run, 15 samples were taken with four resistors in each sample. The complete list of samples and their measured values are as follows: Use three-sigma control limits. *ONLY ANSWER b,c,d, e please. Thank you!*

SAMPLE NUMBER READINGS (IN OHMS)
1 992 992 1000 1027
2 978 994 985 1018
3 1021 998 1018 994
4 974 1022 999 1026
5 1000 1012 1030 991
6 974 987 985 987
7 1005 973 1011 1001
8 983 1024 1012 977
9 990 1004 973 999
10 990 1018 1024 1001
11 998 976 1029 980
12 1024 1020 1020 976
13 1026 1018 1029 971
14 982 979 982 989
15 991 988 980 994

a. Calculate the mean and range for the above samples. (Round "Mean" to 2 decimal places and "Range" to the nearest whole number.)

Sample Number Mean Range
1 1002.75 35
2 933.75 40
3 1007.75 27
4 1005.25 52
5 1008.25 39
6 983.25 13
7 997.50 38
8 999 47
9 991.50 31
10 1008.25 34
11 995.75 53
12 1010 48
13 1011 58
14 983 10
15 988.25 14

b. Determine X=X= and R−R−. (Round your answers to 3 decimal places.)

X=X=
R−R−

c. Determine the UCL and LCL for a X−X−chart. (Round your answers to 3 decimal places.)

UCL
LCL

d. Determine the UCL and LCL for R-chart. (Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 3 decimal places.)

UCL
LCL

e. What comments can you make about the process?

The process is in statistical control.
The process is out of statistical control.

Solutions

Expert Solution

Solution(a)

Sample Number

Xbar

Range

1

992

992

1000

1027

1002.75

35

2

978

994

985

1018

993.75

40

3

1021

998

1018

994

1007.75

27

4

974

1022

999

1026

1005.25

52

5

1000

1012

1030

991

1008.25

39

6

974

987

985

987

983.25

13

7

1005

973

1011

1001

997.5

38

8

983

1024

1012

977

999

47

9

990

1004

973

999

991.5

31

10

990

1018

1024

1001

1008.25

34

11

998

976

1029

980

995.75

53

12

1024

1020

1020

976

1010

48

13

1026

1018

1029

971

1011

58

14

982

979

982

989

983

10

15

991

988

980

994

988.25

14


Solution(b)
Xdoublebar = (1002.75+993.75+1007.75+1005.25+1008.25+983.25+997.5+999+991.5+1008.25+999.75+1010+1011+983+988.25)/15 = 999.012
Rbar = (35+40+27+52+39+13+ 38+47+31+34+53+48+58+10+14)/15 = 35.933
Solution(c)

LCL = Xdoublebar - A2*Rbar = 999.02 - 0.729*35.93 = 972.827

UCL = Xdoublebar + A2*Rbar = 999.02 + 0.729*35.93 = 1025.213
Solution(d)
LCL = D3*Rbar = 0*35.93 = 0
UCL = D4*Rbar = 2.282*35.93 = 81.992

Solution(e)
From the LCL and UCL limits of Range and Mean, we can say that the process is in statistical control.


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