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- Use Ishikawa “Fishbone” Diagram to find the root cause of an electrician falling from a ladder you can draw the Ishikawa “Fishbone” Diagram with paper and pen or any softwarePrepare 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?QUESTION 1 My Happy Feet Company manufactures athletic shoes. The company wants to establish a p chart to monitor the production process using Z=3.00. The company has taken a sample of 50 shoes every 4 hours for a work week of five days. Since the company runs two 8-hour shifts each day, this will result in 20 samples. The sample results are as follows. Sample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Number of Defectives 0 1 0 3 2 5 3 2 1 0 4 1 1 2 2 3 4 1 5 2 23.00 Answer these questions: a. Construct a p-chart to monitor this process. b. Plot the p-chart graph. c. indicate if the process was out of control at any time
- what are the classic four techniques to measure a firmList the steps of problem solving.Question 49 For the sample data given below, is the process in statistical control ? (for z=3) Observations 1 2 3 4 5 6 7 8 9 10 11 Defects/Unit 9 4 3 5 6 3 4 2 3 2 3 Process is in control None of these There is insufficient data to evaluate the process O Process is not in control