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- Solve and Illustrate the venn Diagram for each problem statement. 1. In a survey of 260 college students, the following data were obtained: 64 had taken a mathematics course, 94 had taken a computer science course, 58 had taken a business course, 28 had taken a M and B course, 26 had taken a M and CS course, 22 had taken a both CS and B course, 14 had taken a all three course. How many students were surveyed who had taken none of the three course? 2.. A survey of 500 television watchers produced the following information: 285 watched football games, 195 watched hockey games, 115 watch basketball games,,45 watch F & B, 70 watch F & H, 50 watch H & B, 50 do not watch any of the three games How many watched football only?t was stated that deadlock cannot occur for the situation reflected in Figure 6.3. Justify that statement.Damon Davis was finalizing the paperwork for Drano Plumbing. He projected a net profit of $50,000. When he added up the columns on the Balance Sheet, he saw that the debit column was equivalent to $400,000 and the credit column was equal to $300,000. Which of the following was the most probable explanation for the mismatch in results? If this was not the cause of the issue, what should he undertake to ascertain its origin?
- Following on your job in modelling the employee assignments from the previous practical, you’ve now obtained the following business rules: One Employee supervises Many Employees, and possibly none, and a max of 20. One Employee is supervised by One Employee, and not none. One Employee takes on Many Assignments, and possibly none. One Assignment is taken on by One Employee, and not none. One Assignment takes place in One Section, and not none. One Section appears in Many Assignments, and possibly none. One Section belongs to One Building, and not none. One Building has Many Sections, and possibly none, and a max of 20. You have also been given a small sample of their records, in case this may prove useful. It is below. Assignment No Date Employee No Employee Section Section N Building Start End Supervisor No Building N 8 22/08/2013 2111 B. Johns G1 Canteen G Willis 12h00 19h00 2321 2 9 23/08/2013 2111 B. Johns F3…Solve the following: (Draw diagram and define M)Person (SSN, Name, Surname, DateOfBirth, Gender) SerologicalTest (CodT, CommercialName, Brand, Reliability) Building(CodB, City, Province Region, MaxCapacity) UndergoTest (SSN, CodT, Date, CodB, Outcome) For each serological test brand, find the brand and the overall number of tests undergone from May 1st, 2020 to June 30th, 2020 to persons who have undergone at least two tests with the outcome “Positive” of that brand. this is the solution. SELECT Brand, COUNT(*) FROM SerologicalTest ST, UndergoTest UT WHERE ST.CodT = UT.CodT AND Date >= 01/05/2020 AND Date <= 30/06/2020 AND SSN IN ( Select SSN From UndergoTest UT2, SerologicalTest ST2 where ST2.CodT = UT2.CodT and outcome='positive' and ST2.Brand = ST.Brand group by SSN having COUNT(*) > 1) GROUP BY Brand but im struggling a lot to be able to solve these type of questions im not understanding how to think about it and if i can somehow do something on a paper before starting to…
- <ul> - `bsal` = beginning salary (annual salary at time of hire) - `sal77` = annual salary in 1977 - `sex` = MALE or FEMALE - `senior` = months since hired - `age` = age in months - `educ` = years of education - `exper` = months of prior work experience </ul> banksalary.csv bsal,sal77,sex,senior,age,educ,exper 5040,12420,MALE,96,329,15,14 6300,12060,MALE,82,357,15,72 6000,15120,MALE,67,315,15,35.5 6000,16320.00098,MALE,97,354,12,24 6000,12300,MALE,66,351,12,56 6840,10380,MALE,92,374,15,41.5 8100,13979.99902,MALE,66,369,16,54.5 6000,10140,MALE,82,363,12,32 6000,12360,MALE,88,555,12,252 6900,10920,MALE,75,416,15,132 6900,10920,MALE,89,481,12,175 5400,12660.00098,MALE,91,331,15,17.5 6000,12960,MALE,66,355,15,64 6000,12360,MALE,86,348,15,25 5100,8940,FEMALE,95,640,15,165 4800,8580,FEMALE,98,774,12,381 5280,8760,FEMALE,98,557,8,190 5280,8040,FEMALE,88,745,8,90 4800,9000,FEMALE,77,505,12,63 4800,8820,FEMALE,76,482,12,6 5400,13320,FEMALE,86,329,15,24 5520,9600,FEMALE,82,558,12,97…<ul> - `bsal` = beginning salary (annual salary at time of hire) - `sal77` = annual salary in 1977 - `sex` = MALE or FEMALE - `senior` = months since hired - `age` = age in months - `educ` = years of education - `exper` = months of prior work experience </ul> banksalary.csv bsal,sal77,sex,senior,age,educ,exper 5040,12420,MALE,96,329,15,14 6300,12060,MALE,82,357,15,72 6000,15120,MALE,67,315,15,35.5 6000,16320.00098,MALE,97,354,12,24 6000,12300,MALE,66,351,12,56 6840,10380,MALE,92,374,15,41.5 8100,13979.99902,MALE,66,369,16,54.5 6000,10140,MALE,82,363,12,32 6000,12360,MALE,88,555,12,252 6900,10920,MALE,75,416,15,132 6900,10920,MALE,89,481,12,175 5400,12660.00098,MALE,91,331,15,17.5 6000,12960,MALE,66,355,15,64 6000,12360,MALE,86,348,15,25 5100,8940,FEMALE,95,640,15,165 4800,8580,FEMALE,98,774,12,381 5280,8760,FEMALE,98,557,8,190 5280,8040,FEMALE,88,745,8,90 4800,9000,FEMALE,77,505,12,63 4800,8820,FEMALE,76,482,12,6 5400,13320,FEMALE,86,329,15,24 5520,9600,FEMALE,82,558,12,97…<ul> - `bsal` = beginning salary (annual salary at time of hire) - `sal77` = annual salary in 1977 - `sex` = MALE or FEMALE - `senior` = months since hired - `age` = age in months - `educ` = years of education - `exper` = months of prior work experience </ul> banksalary.csv bsal,sal77,sex,senior,age,educ,exper 5040,12420,MALE,96,329,15,14 6300,12060,MALE,82,357,15,72 6000,15120,MALE,67,315,15,35.5 6000,16320.00098,MALE,97,354,12,24 6000,12300,MALE,66,351,12,56 6840,10380,MALE,92,374,15,41.5 8100,13979.99902,MALE,66,369,16,54.5 6000,10140,MALE,82,363,12,32 6000,12360,MALE,88,555,12,252 6900,10920,MALE,75,416,15,132 6900,10920,MALE,89,481,12,175 5400,12660.00098,MALE,91,331,15,17.5 6000,12960,MALE,66,355,15,64 6000,12360,MALE,86,348,15,25 5100,8940,FEMALE,95,640,15,165 4800,8580,FEMALE,98,774,12,381 5280,8760,FEMALE,98,557,8,190 5280,8040,FEMALE,88,745,8,90 4800,9000,FEMALE,77,505,12,63 4800,8820,FEMALE,76,482,12,6 5400,13320,FEMALE,86,329,15,24 5520,9600,FEMALE,82,558,12,97…
- Consider the following scenario A student has a name, which consists of a given name and a family name, and a student IID. Each student is uniquely identified by his/her student ID.A course has a subject and a course ID. For each course, we want to record the number of students taking that course and the type of equipment being used for the course. A course is uniquely identified by its course ID.A student can be enrolled in an arbitrary number of courses, and an arbitrary number of students can be enrolled in a course. For each course in which they are enrolled students receive a lab mark and an exam mark.A course cannot exist if there is no student enrolled in it.A school is distinguished by the honour's degree that it awards. We also want to record to which faculty a school belongs. A student is registered with at most one school, while a school can have an arbitrary number of students. Questions a) Draw an Entity Relationship Diagram b) translate the ERD into a relational data…Scenario – 2 Suppose that you are developing ERD about reality shows on TV. For each reality show, itsname, genre, basic_info and participants name. Any reality show has at least two or moreparticipants. Reality show may run for multiple days during the week. For each producer, thecompany name, company country is stored. A show is produced by exactly one producer. Andone producer produces exactly one show. For each television, its name, start year, head officeis stored. A television may broadcast multiple shows. Each show is broadcasted by exactly onetelevision. For each user, his/her username, password, and age is stored. A user may ratemultiple shows, and a show may be rated by multiple users. Each rating has a score of 0 to 10.Every show comes with Advertisement. Advertisement may belong to Single or more shows.Every advertisement will have customer who will pay for different packages for advertisements.Advertisements may vary from Reality show. Task to do: i. Identify Entities…The report from the hospital said a study following a group of 250 girls found those ____ Were fatter at 3 age 3 and ____ gained welght dung the next three years reached puberty by age 9 a) © who / which b) © which / whose c) © thark whom d) who / that e) which / who
