best alternative in the following: Q.1 In the relational modes‚ cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product in relational algebra is (A) a Unary operator. (B) a Binary operator. (C) a Ternary operator. (D) not defined
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A boy named Billy Coleman that lived in the Ozarks of Oklahoma. He wanted something every boy in the Ozarks wanted‚ two redbone hounds. He between 12 and 13‚ he helped his papa around the farm and things like that. Everyday he thought and dreamed about coon dogs. He begged his mama and papa to get him some‚ but they cost money and they didn’t have any for that. One day beside the river he found an ad coon dogs for sale. Over the next two years Billy worked every job he could and saved every penny
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EC1204 Economic Data Collection and Analysis Student No. 110393693 Part 1: Question 2 From analysing the Data on the Scatter Plot the relationship between the GDP and the Population of Great Britain from 1999-2009 appears to be a moderate positive correlation relationship. Both variables are increasing at a similar rate and following a similar pattern which would indicate this relationship. This relationship would tend to be a positive one as more people are available to the work. Question 3
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something. Both of them take place to such a great extent that happens to anyone‚ which can be seen from the film “Billy Elliot” by Stephen Daldry‚ the play “Educating Rita” by Willy Russell and the fiction
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into the Workers’ Compensation (WC) actuarial model workbook. Payroll data for the WC model should contain “only the actual hours worked” for specific Rate Schedule Codes (RSC) groups‚ including executives. The WC payroll data should exclude all paid leave types. A comparison of work hours from the NPHRS mainframe report to the summary in EDW reveals very small differences. We hope to align the NPHRS and EDW work hour data. Also‚ we (Technical Analysis‚ Accounting and Finance) need to understand
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Project 5.1.1A Evidence Log Sheet Analyze each piece of evidence presented to your investigative team. Record relevant findings for each artifact in the log sheet below. You do not need to analyze the documents in a specific order. Remember that what you do not find may actually be just as important as information that you do find. Note: Items listed with an * are part of Evidence Report #2. Document Relevant Findings General Laboratory Tests Patient 1‚2‚ and 3 has normal urine. Patient 3
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Bishop‚ best known as “Billy” Bishop was a person who had great respect for his country and carried an amazing talent. Billy Bishop’s life was surrounded by life changing events in which make him a brilliant hero. With his brutal and traumatic battles‚ Billy Bishop was Canada’s top Ace‚ with a total of 72 victories. Billy Bishop is a hero simply regarding his continued perseverance for his dreams which have changed him and his life before‚ during‚ and after the war. Billy Bishop’s path to greatness
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Major depressive disorder (MDD) (also known as clinical depression‚ major depression‚ unipolar depression‚ or unipolar disorder; or asrecurrent depression in the case of repeated episodes) is a mental disorderﾧ characterized by a pervasive and persistent low moodﾧ that is accompanied by low self-esteemﾧ and by a loss of interest or pleasureﾧ in normally enjoyable activities. This cluster of symptoms (syndromeﾧ) was named‚ described and classified as one of the mood disordersﾧ in the 1980 edition
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DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE‚ PILANI - K.K. BIRLA GOA CAMPUS Mathematics-2 Tutorial–1 1. Use the Gaussian elimination method to solve each of the following systems of linear equations: (a) −5x1 − 2x2 + 2x3 = 14 3x1 + x2 − x3 = −8 2x1 + 2x2 − x3 = −3 (b) 3x1 − 2x2 + 4x3 = −54 −x1 + x2 − 2x3 = 20 5x1 − 4x2 + 8x3 = −83 2. Find the quadratic equation y = ax2 + bx + c that goes through the points (3‚ 18)‚ (2‚ 9) and (−2‚ 13). 3. Use the Gauss Jordan method to determine the complete solution
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