In tuple-level uncertainty, the value of an attribute is itself a random variable whose domain is the set of values allowed for that tuple. True or false? A True B Farse
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In tuple-level uncertainty, the value of an attribute is itself a random variable whose domain is the set of values allowed for that tuple. True or false?
A True
B Farse
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- Justify the use of inferential statistics.There are two alternative methods of representing an employee’s optional (single) phone number. The first is to use a nullable attribute and the second is to use a weak entity. 1. Given a requirement that a large number of the employees (> 80%) are assigned a phone number, which is the preferred method and why? 2. Given a requirement that only a small number of employees (< 10%) are assigned phone numbers, which is the preferred method and why? 3. How would the requirement of ‘multiple phone numbers can be assigned to an Employee’ affect your decision? Your answers should consider the performance tradeoff between number of database operations per query and record’s size.Based on the inference rules, the following statement is If {pnumber} -> {pname}, then {pnumber, plocation} -> {pname, plocation} True False
- A derived attribute can be stored in a table or calculated on each occasion that it is required. An example of a derived attribute is your Grade Point Average which is calculated by adding together a score for each unit (e.g., HD=4, D=3, C=2, P=1, N=0) and dividing that by the number of units you have completed. Explain how the decision as to whether the Grade Point Average would be stored in a table or calculated would be made. You are administering a database in a large retail company that records sales at each of the company’s stores. Tuning the database to improve performance by adding indexes and optimising query execution is an important ongoing aspect of the physical database design. Which attributes in a database such as this (apart from the primary key) are likely to BENEFIT from being indexed? Which attributes would you generally avoid indexing, and why?Use Python for the following questions (your own method implementation or libraries/packages for the answers): Suppose that the data for analysis includes the attribute age. The age values for the data tuples are (in increasing order) 13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30, 33, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70. (a) What is the mean of the data? What is the median? (b) What is the mode of the data? Comment on the data’s modality (i.e., bimodal, trimodal, etc.). (c) What is the midrange of the data? (d) Can you find (roughly) the first quartile (Q1) and the third quartile (Q3) of the data? (e) Give the five-number summary of the data. (f) Show a boxplot of the data.In the scenario where an attribute serves as a primary key, it can also be considered as a candidate key. What would be your reply?
- q29When a student does not declare a major at an institution, the major field is often filled with the value "Undecided." Is the null value represented by "Undecided"? Is it appropriate to set that as the default? Make a strong case for your answer.The multiple choice answers are: - One and only one - one or many - zero or one - zero or many.
- It is feasible to possess a primary key and a candidate key concurrently for a given attribute.INSTURCTION FOR FINAL LAB ASSIGNMENT STUDENT ID 1. Kindly Check Your STUDENT ID in question paper as I have mentioned. 1. 201801557 2. If Your STUDENT ID is in SETA then Solve the Set A Only. 2. 201806825 3. If your STUDENT ID is in SET B then Solve the SET B only. 4. Draw the diagram by using DIA SOFTWARE according to 3. 201807553 the question in your SET. Take the screenshot of your 4. 201904768 diagram & paste in the question paper.& upload on BB 5. 201904775 6. 201908304 7. 201909048 Answer the following questions. Q 1) Draw the DFD level -1 diagram of LIBRARY MANAGEMENT SYSTEM Output: Q 2) Draw the E-R diagram for HOTEL MANAGEMENT SYSTEM Output:Target is one of the attributes used to identify an objective. True False
