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Data analysis that needs tables and data interpretation too. 2. A quality control engineer needs to ensure that the caps on shampoo bottles fastened correctly.

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Data analysis that needs tables and data interpretation too.

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2. A quality control engineer needs to ensure that the caps on shampoo bottles fastened correctly. If the caps are fastened too loosely, they may fall off during shipping. If they are fastened too tightly, they may be too difficult to remove. The target torque value for fastening the caps is 18. The engineer collects a random sample of 72 bottles and tests the amount of torque that is needed to remove the caps. Analyze the descriptive statistics of the torque measurements from the two machines (Table 2). Interpret the results. Table 2 MACHINE A MACHINE B 18 24 18 20 19 23 16 18 20 17 19 28 22 24 16 23 18 25 18 26 18 18 19 19 19 21 19 22 17 20 17 15 18 24 23 23 15 22 18 21 19 18 19 20 19 20 20 20 20 21 17 18 18 15 18 16 21 26 20 20 20 18 17 22 16 23 18 20 18 19 18 15ASSESSMENT NO. 2 1. The President of Y Engineering firm, gathered data regarding the average annual salaries of Engineers at 160 industries. This Information was collected in response to criticism from the Y industry Engineer employees that salaries were low compared with those other industries. The raw data is presented in Table 1. Summarize the result and explain the meaning of these measures. Include in your report the various measures of central tendency and dispersion. Table 1 Engineers Salary at 160 Industries (Pesos) 26,000 39,100 43,300 44.800 59,700 52.200 61,800 70,200 28,000 39,600 47,200 49,800 53,200 58,400 62,000 72,200 28,100 39,600 43,600 45,100 53.300 52,400 62.200 72,600 29,700 39,700 47,400 49,900 53,800 59,100 62,300 72,800 30,500 40,200 43,800 45,200 53,900 52.700 63,200 73,100 30,600 45,200 47,600 50,000 54,000 59,200 63,300 73,400 32,300 40,200 43,900 55,300 54.700 52,800 63,400 74,800 33,000 45,300 48,000 50,000 54,700 59,600 63,500 75,800 34.300 40,700 43.900 55,500 55,100 53,100 64.000 75,900 34,700 45,400 48.500 50,100 57,200 60,000 64,500 76,400 35,500 41,200 44,200 56,100 50,800 60.200 64.800 76,800 35,800 45,600 48,700 50,200 57,500 60,500 65,000 77,900 36,000 41 300 44,400 56,100 51.200 60,700 65,300 77,900 37,000 45,800 49,200 50,200 57,700 60,800 65,700 79,200 37,000 41.400 44.600 56,700 52.000 61,100 66.300 82,600 37,100 46,100 49,200 50,500 57,800 61,200 66,400 84,200 37,500 41,900 44.800 56,900 52.100 61,500 67,000 90,200 37,800 46,400 49,200 50,600 57,900 61,500 69,200 91,200 37.900 43,100 44,800 57,100 52.100 61.700 70.100 93.300 39,100 47,100 49,500 50,700 58,300 61,800 70,100 96,500

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