Question

In: Statistics and Probability

The data in the worksheet provides the number of defects produced in a series of panels....

The data in the worksheet provides the number of defects produced in a series of panels. a. Construct a C-chart for this process. b. Does the process appear to be in control? Why or why not?

Panel Defects / Panel
1 2
2 12
3 9
4 13
5 8
6 10
7 11
8 7
9 9
10 10
11 6
12 9
13 13
14 12
15 15
16 4
17 9
18 10
19 5
20 6
21 10
22 19
23 8
24 8
25 5

Solutions

Expert Solution

Answer:

a) and b)

The c chart for the number of defect per panel is,

By using Excel software,find c chart with the help of following steps:

1)Import the data.

2) Select Quality control Process Chart from Megastat in Add -Ins menu.

3) Choose Input Range and Number of Defects.

4)Click Ok.

Quality Control Process Charts

Numbers of samples 25

Defects per sample
Upper Control Limit-UCL 18.299
Center 9.200
Lower Control Limit-LCL 0.101

Control Chart For the Number of Defects

From the Excel output ,the c chart for the number of defect per panel concludes there are 1 data point is fall out of control limits is 19,So the process is not under statistics quality control.


Related Solutions

The data listed below provides the number of defects produced in a series of panels. a....
The data listed below provides the number of defects produced in a series of panels. a. Construct a C-chart for this process. b. Does the process appear to be in control? Why or why not? Panel Defects / Panel 1 2 2 12 3 9 4 13 5 8 6 10 7 11 8 7 9 9 10 10 11 6 12 9 13 13 14 12 15 15 16 4 17 9 18 10 19 5 20 6 21...
A manufacturing company is interested in predicting the number of defects that will be produced each...
A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 10 randomly selected hours. Defects (Y) Production rate per hour(X) 2 40 3 45 1 35 2 37 3 40...
A manufacturing company is interested in predicting the number of defects that will be produced each...
A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate (X) to predict the number of defects (Y). The following data were collected for 4 randomly selected hours. Defects (Y) Production Rate Per Hour (X) 20 400 30 450 10 350 20...
1.  A manufacturing company is interested in predicting the number of defects that will be produced each...
1.  A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line.  The managers believe that there is a relationship between the defect rate and the production rate per hour.  The managers believe that they can use production rate to predict the number of defects.   The following data were collected for 7 randomly selected hours. Defects             Production rate/h 2                      40 3                      45 1                      20 3                      40 5                      50 4                      30 6                      50 Set up a scatter diagram, and discuss what if any...
1.  A manufacturing company is interested in predicting the number of defects that will be produced each...
1.  A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line.  The managers believe that there is a relationship between the defect rate and the production rate per hour.  The managers believe that they can use production rate to predict the number of defects.   The following data were collected for 7 randomly selected hours. Defects             Production rate/h 2                      40 3                      45 1                      20 3                      40 5                      50 4                      30 6                      50 Set up a scatter diagram, and discuss what if any...
1. T F The number of defects on a product produced by a process is distributed...
1. T F The number of defects on a product produced by a process is distributed as a Poisson distribution. 2. T F For large binomially distributed populations and small samples you can use sampling without replacement 3. T F Given a triangular distribution with minimum 2, maximum 8 and mode 7, the probability of being smaller than 7 is greater than 60% 4. T F The hypergeometric distribution describes sampling without replacement 5. T F The relative frequency of...
a) The worksheet "Counts8Year" provides the number Top30 TV shows aired on each network by year....
a) The worksheet "Counts8Year" provides the number Top30 TV shows aired on each network by year. Run a two-way ANOVA without replication using the data in columns A to E of the "Counts8Year" worksheet. (Do not include row 1 and check labels.) Two hypothesis tests will be performed, one for the Year (row) factor and the other for the Network (column) factor. What is the value of the test statistic, Fcalc, for the test on the Network factor? Provide your...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 7 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviation s . Units with weights less than 6.8 or greater than 7.2 ounces will be classified as defects. What is the probability of a defect (to...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 14 ounces. The process standard deviation is 0.2, and the process control is set at plus or minus 0.5 standard deviation. Units with weights less than 13.9 or greater than 14.1 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 12 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 1.75 standard deviations. Units with weights less than 11.825 or greater than 12.175 ounces will be classified as defects. What is the probability of a defect (to 4...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT