Table Critical values for the Hartley test (right-sided) Level of significance = 0.01 k n-1 2 3 4 5 6 7 8 2 199 448 729 1036 1362 1705 2069 3 47.5 85 120 151 184 216* 249* 4 23.2 37 49 59 69 79 89 5 14.9 22 28 33 38 42 46 6 11.1 15.5 19.1 22 25 27 30 7 8.89 12.1 14.5 16.5 18.4 20 22 8 7.50 9.9 11.7 13.2 14.5 15.8 16.9 9 6.54 8.5 9.9 11.1 12.1 13.1 13.9 10 5.85 7.4 8.6 9.6 10.4 11.1 11.8 12 4.91 6.1 6.9 7.6 8.2 8.7 9.1 15 4.07 4.9 5.5 6.0 6.4 6.7 7.1 20 3.32 3.8 4.3 4.6 4.9 5.1 5.3 30 2.63 3.0 3.3
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4 3 2 1 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 30 29 28 27 26 Dec (12)2011 Nov (11)2011 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 31 30 29 28 27 26 Jan (1)2012 Dec (12)2011 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 31 30 29
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pre-determined other values needed coding. In addition to the questions there were also filter question asked such as gender, length of service, if the respondent worked as a supervisor or in management, and in which division each person works. Questions 1-10 The questions numbered one through ten were pre-coded with assigned values one through five. A response of one indicates the respondent has very
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...................................1 第一节 第二节 第三节 第四节 第五节 标识符...................................................................................................................................1 . 运算符...................................................................................................................................1 . 数据类型...............................................................................................................................1 . 变量与常量...........................
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Date Session Rev.1 SAT SUN Date Date 11 Aug 2014 1 2 3 4 5 6 7 8 9 10 11 12 3 12 19 26 2 9 16 23 30 7 14 21 28 4 1 2 3 4 5 6 7 8 9 10 11 12 13 20 27 3 10 17 24 1 8 15 22 29 5 1 2 3 4 5 6 7 8 9 10 11 12 FE FE 14 21 28 4 11 18 25 2 9 16 23 30 6 13 1 2 3 4 5 6 7 8 9 10 11 12 FE FE 15 22 29 5 12 19 26 3 10 17 24 31 7 14 1 2 3 4 5 6 7 8 9 10 11 12 FE FE 16 23 30 6 13 20 27 4 11 18 25 H 1 8 15 17 H 24 31 7 14 21 28 5H 12 19 26 2 9 16 18 25 1 8 Sep 2014 15
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1. https://www.youtube.com/watch?v=hKHbe0W3hsc 2. https://www.youtube.com/watch?v=Uh_bSsrWjZs 3. https://www.youtube.com/watch?v=zxv_NCL50IU 4. https://www.youtube.com/watch?v=PNLI-ImRa_g 5. https://www.youtube.com/watch?v=9Z2IriQS3fA 6. https://www.youtube.com/watch?v=kjMLWyClIUw 7. https://www.youtube.com/watch?v=hyhOrh8vn0U 8. https://www.youtube.com/watch?v=HN-ZHBkaOsI 9. https://www.youtube.com/watch?v=PRZP0bbUc38 10. https://www.youtube.com/watch?v=vPwZsH-bDHs 11. https://www.youtube
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1000 100 10 1 2 9 3 1 ___________________ 2000 + 900 + 30 + 1 = 2931 1.1.2 1102 22 21 20 4 2 1 1 1 0 ________________
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1 www.oldwitchcraft.com 2 www.oldwitchcraft.com 3 INTRODUCTION The science of numerology can be traced back thousands of years. The Chinese, Japanese, Greek, Hebrews, Egyptians, Phoenicians, early Christians, Mayans, and Incas all used some form of numerology to gain a deeper understanding of themselves and the universe. Numerology is perhaps the easiest of the occult arts to understand and use. All you need is the birth date and the complete name of an individual to unlock all of the secrets
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DICE AND PROBABILITY LAB Learning outcome: Upon completion, students will be able to… * Compute experimental and theoretical probabilities using basic laws of probability. Scoring/Grading Rubric: * Part 1: 5 points * Part 2: 5 points * Part 3: 22 points (2 per sum of 2-12) * Part 4: 5 points * Part 5: 5 points * Part 6: 38 points (4 per sum of 4-12, 2 per sum of 3) * Part 7: 10 points * Part 8: 10 points Introduction: While it is fairly simple to understand
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Euro Watch Company Report 1 ) The Euro Watch Company assembles expensive wristwatches and then sells them to retailers throughout Europe. The watches are assembled with two assembly lines with below specification: Line 1: Old equipment Less reliable Defect rate of 2% Capacity: 500 watches per hour Line 2: New equipment More reliable Defect rate of 1% Capacity: 500 watches per hour We need to find the smallest number of defected watches each line produces independently in a given hour
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