The following data gives the number of defectives in 5 independent samples from a production process. The samples are of varying size. Draw appropriate chart and comment on the process
Sample number Sample size Number of defectives
1 2000 400
2 1000 150
3 1000 120
4 600 80
5 400 50
The following data gives the number of defectives in 5 independent samples from a production process....
Using minitab. 1. The data shown in Table 116.1 come from a production process with two observable quality characteristics: x1 and x2. The data are sample means of each quality characteristic, based on samples of size n = 25. Assume that mean values of the quality characteristics and the covariance matrix were computed from 50 preliminary samples: 200 1307 1 = 30s= 130 120 TABLE 11 E. 1 Data for Exercise 11.1 Sample Number 1 58 60 50 10 12...
Ten samples of 15 parts each were taken from an ongoing process to establish a p chart for control. The samples and the number of defectives in each are shown in the following table: 3. Sample Sample Number of Number of defects in Sample n defects in Sample 1 15 3 6 15 2 2 15 1 7 15 0 15 0 8 15 4 15 0 9 15 1 5 15 0 10 15 0 a) Develop a p-chart...
2- The number of nonconforming switches in Number of Number of samples of size 150 are shown in the Table. Sample Construct a fraction nonconforming control chart (p-chart) for these data. Does the process appear to be in control? If not assume that assignable causes can be found 4 for all points outside the control limits and calculate the revised control limits. Nonconforming Switches Sample Number Nonconforniro Switches Number 12 13 14 15 16 17 18 19 0 15 10
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table: Sample n number of defective items in the sample 1 15 1 2 15 1 3 15 1 4 15 0 5 15 2 6 15 3 7 15 1 8 15 0 9 15 2 10 15 1 a. Determine the p, Sp, UCL and LCL...
Examnle 7 IFRQ1203M] Independent random samples of 500 households were taken from a large metropolitan area in the United States for the years 1950 and 2000 Histograms of household size (number of people in a household) for the years are shown below. SocS 120 t00 100 80 80 6o 5 20 8 10 12 14 1 0 268 12 416 Houschold Stze in 1950 Houschold Size in 2000 A researcher wants to use these data to construct a confidence interval...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table: SAMPLE n NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE 1 15 2 2 15 0 3 15 3 4 15 3 5 15 3 6 15 1 7 15 3 8 15 2 9 15 0 10 15 3 a. Determine the p−p−, Sp, UCL and LCL...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table: SAMPLE n NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE 1 15 3 2 15 2 3 15 2 4 15 2 5 15 0 6 15 2 7 15 1 8 15 3 9 15 2 10 15 1 a. Determine the p−p−, Sp, UCL and LCL...
The results of inspection of DNA samples taken over the past 10 days are given below. Sample size is 100. 10 Day Defectives 2 3 4 6 6 0 6 a) The upper and lower 3-sigma control chart limits are: UCLp(enter your response as a number between 0 and 1, rounded to three decimal places). LCL(enter your response as a number between 0 and 1, rounded to three decimal places). b) Given the limits in part a, is the process...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table: SAMPLE 1 2 3 NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE 2 0 3 1 O 3 1 n 15 15 15 15 15 15 15 15 15 15 5 6 7 0 0 10 a. Determine the PSUCI and LCL for a p-chart of 95 percent...
Independent random samples were selected from two binomial populations, with sample sizes and the number of successes given below. Population 1 2 500 500 120 147 Sample Size Number of Successes Construct a 95% confidence interval for the difference in the population proportions. (Use P, - Pg. Round your answers to four decimal places.) - 1087 to