Concept explainers
a)
To determine: 11 observations of days going across row 4.
Introduction: The amount of the dependency on human effort by an organization in terms of achieving its goals is given by the work design. It is directly linked to the productivity of an organization, where a good work design helps in achieving high productivity.
b)
To determine: The hours from column 1 using its first digit.
Introduction: The amount of the dependency on human effort by an organization in terms of achieving its goals is given by the work design. It is directly linked to the productivity of an organization, where a good work design helps in achieving high productivity.
c)
To determine: The minutes reading in the first two digits in column 4, which is going up and then taking the next set of two digits.
Introduction: The amount of the dependency on human effort by an organization in terms of achieving its goals is given by the work design. It is directly linked to the productivity of an organization, where a good work design helps in achieving high productivity.
d)
To arrange: The days, hours, and minutes, in chronological order.
Introduction: The amount of the dependency on human effort by an organization in terms of achieving its goals is given by the work design. It is directly linked to the productivity of an organization, where a good work design helps in achieving high productivity.
e)
To convert: The observed days to dates in March, April, and May.
Introduction: The amount of the dependency on human effort by an organization in terms of achieving its goals is given by the work design. It is directly linked to the productivity of an organization, where a good work design helps in achieving high productivity.
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OPERATIONS MANAGEMENT CONNECT AC
- Prepare a run diagram for this emergency call data. Use five-minute intervals (i.e., count the calls received in each five- minute interval. Use intervals of 0-4, 5-9, etc.). Note: Two or more calls may occur in the same minute; there were three operators on duty this night. What can you conclude from the run chart? Call Time Call Time Call Time 1 2 3 4 5 6 7 8 9 10 11 1:03 1:06 1:09 1:11 1:12 1:17 1:21 1:27 1:28 1:29 1:31 12 13 14 15 16 17 18 19 20 21 22 1:36 1:39 1:42 1:43 1:44 1:47 1:48 1:50 1:52 1:53 1:56 23 24 25 26 27 28 29 30 31 32 33 1:56 2:00 2:00 2:01 2:02 2:03 2:03 2:04 2:06 2:07 2:08 Call 34 35 36 37 38 39 40 41 42 Time 2:08 2:11 2:12 2:12 2:13 2:14 2:14 2:16 2:19 a. re-organize the above data for your analysis (using five-minute intervals; 0-4, 5-9, etc) b. Provide your diagram that shows the number of emergency calls by eacn five-minute intervals from 1am to 2:20am c. what can you conclude from the chart?arrow_forwardPrepare a run diagram for this emergency call data. Use five-minute intervals (i.e., count the calls received in each five-minute interval. Use intervals of 0 to 4, 5 to 9, etc.). Note: Two or more calls may occur in the same minute; there were three operators on duty this night. What can you conclude from the run chart?arrow_forwardHow reliable is the result of work sampling activity in determining working time and idle time of the operator?arrow_forward
- 4. In a restaurant, a customer was asked about his level of satisfaction about their service. What type of data was being gathered? a. nominal C. interval b. ordinal d. ratioarrow_forwardPlease no written by hand solutions In a recent commercial, a weight-loss company featured testimonials touting their “miracle shake” nutritional supplement. Satisfied Customer Time (days) Weight loss (kg) Sarah, from Toronto 30 11 Zack, from New York 45 16 Eli, from Detroit 90 36 Yvette, from Montreal 10 4.5 Lynn, from San Diego 30 8.5 Kulwinder, from Vancouver 60 20 The commercial claims that the miracle shake will provide guaranteed weight loss. a) Use this data to determine the correlation between time on the diet and weight loss (either the Spearman's Rank Coefficient, or the PPMCC, but state which you are calculating. You are welcome to use a spreadsheet). b) Does the correlation imply that the miracle shakes cause weight loss? Identify any possible outliers.arrow_forwardThe Money Pit Mortgage Company is interested in monitoring the performance of the mortgage process. Fifteen samples of five completed mortgage transactions each were taken during a period when the process was believed to be in control. The times to complete the transactions were measured. The means and ranges of the mortgage process transaction times, measured in days, are as follows: Sample Mean Range ew an example 1 2 16 12 7 12 Get more help. 3 6 5 4 5 6 7 8 9 15 10 10 13 14 11 9 10 16 13 16 11 Subsequently, samples of size 5 were taken from the process every week for the next 10 weeks. The times were measured and the following results obtained: D Sample Mean Range 16 9 8 17 12 12 18 19 13 7 7 5 20 15 13 MacBook Pro Click the icon to view the table of factors for calculating three-sigma limits for the x-chart and R-chart. a. Construct the control charts for the mean and the range, using the original 15 samples. Set up the R-chart by specifying the center line and three-sigma control…arrow_forward
- Why is it necessary to include units when reportingscientific measurements?arrow_forward20. A large national producer of cookies and baked goods uses a c chart to monitor the number of chocolate chips in its chocolate chip cookies. The company would like to have an average of six chips per cookie. One cookie is sampled each hour. The results of the last 12 hours were Number of Chips per Cookie Number of Chips per Cookie Hour Hour 1 7 7 3 2 8 6 3 4 3 3 4 3 10 2 5 5 11 4 4 12 4 a. Assuming a target value of c = 6, what are the upper and the lower control lim- its for a c chart? b. Are the 12 observations consistent with a target value of c = 6? If those 12 ob- servations constitute a baseline, what upper and lower control limits result? (Use the normal approximation for your calculations.)arrow_forwardAn analyst has observed a job long enough to familiar with it and has Element cyclel cycle2 | cycle3 cycle4 | cycle5 PR become 1 1.51 1.63 1.48 1.55 1.72 100 2 2.46 2.34 2.33 2.36 2.30 90 divided it into four elements. 3 1.79 3.02 1.84 1.78 1.77 95 Element time for the first five 4 1.25 1.11 1.40 1.15 1.29 115 cycles with Perfomance Rating (PR) are shown in the table 3. Table 3 (a) Compute an estimatednomal time for the job based onthe data available at this stage of the study. (b) On the basis of the data available, what size sample should be take to estimate the time for all elements within 5 % of the true mean time with 95% confidence?arrow_forward
- 5 Sample data: Mean (Microns) (N=4) Minimum Maximum3.821 3.764 3.9993.946 3.804 4.2514.049 4.039 4.4543.793 3.779 3.9233.635 3.534 4.0684.046 3.578 4.5043.569 2.974 3.9084.084 3.779 5.6673.414 2.806 4.2565.319 5.168 6.3464.096 4.092 4.2234.108 3.957 4.3084.037 3.982 4.3933.789 3.691 3.8534.066 4.023 4.269 Sample Size N A2 D3 D4 2 1.88 0 3.27 3 1.02 0 2.57 4 0.73 0 2.28 5 0.58 0 2.11 6 0.48 0 2.00 7 0.42 0.08 1.92 8 0.37 0.14 1.86 9 0.34 0.18 1.82 10 0.31 0.22 1.78 11 0.29 0.26 1.74 12 0.27 0.28 1.72arrow_forwardQ1: Identify the sampling technique used in the above scenarios. B puts students' names in a hat and then selects his sample by picking 5 names, from his hat. B wants to check the airport security and for that he choose the first 50people to pass through a checkpoint. B wants to check the food quality of the products and for that he selects every 10thitems as her sample. B want to analyze the job satisfaction level among employees. He divided employees on the basis of “managers” and “non-managerial employees” and then randomly select 10 persons from each group. B want to study on gambling addiction and realized that it is difficult to get in contact with gambling addictive. He had however been in contact with one individual gambler in the initial phase of the study. When he interviewed him he asked if he had knowledge of other gamblers. The gambler gave references for two persons. When these two persons were interviewed, one gambler give reference…arrow_forward20. A teller at a drive-up window at a bank had the following service times (in minutes) for 20 randomly Chapter Ten Quality Control selected customers. SAMPLE 1 4. 4.5 4.6 4.5 4.7 4.2 4.5 4.6 4.6 4.2 4.4 4.4 4.8 4.3 4.7 4.4 4.5 4.3 4.3 4.6 4.9 a. Determine the mean of each sample. b. If the process parameters are unknown, estimate its mean and standard deviation. c. Estimate the mean and standard deviation of the sampling distribution. d. What would three-sigma control limits for the process be? What alpha risk would they provide? e. What alpha risk would control limits of 4.14 and 4.86 provide? f. Using limits of 4.14 and 4.86, are any sample means beyond the control limits? If so, which one(s)? g. Construct control limits? If so, which one(s)? ontrol charts for means and ranges using Table 10.3. Are any samples beyond the h. Explain why the control limits are different for means in parts d and g. i. If the process has a known mean of 4.4 and a known standard deviation of .18, what…arrow_forward
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