...think rigorously and independently. They are awarded after graduation from university.[1] In some languages, a master's degree is called a magister, and magister or a cognate can also be used for a person who has the degree. There are various degrees of the same level, such as engineer's degrees, which have different names for historical reasons. See List of master's degrees. There has recently been an increase in programs leading to these degrees in the United States; more than twice as many of such degrees are now awarded as compared to the 1970s. In Europe, there has been a standardisation of conditions to deliver the master's degrees and most countries present degrees in all disciplines.[2] he two most common titles of master's degrees are the Master of Arts (M.A.) and Master of Science (M.S., MSc, M.Si., or M.Sc.); these may be course-based, research-based, or a mixture of the two. Some universities use the Latin degree names; because of the flexibility of word order in Latin, the Master of Arts and Master of Science may be known as magister artium or artium magister and magister scientiae or scientiae magister, respectively. Harvard University, University of Chicago, and MIT, for example, use A.M. and S.M. for their master's degrees. More commonly, Master of Science often is abbreviated MS or M.S. in the United States,[3] and MSc or M.Sc....
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...UNIVERSITI TUNKU ABDUL RAHMAN (UTAR) FACULTY OF BUSINESS AND FINANCE (FBF) MAY 2012 TRIMESTER UBMM/UKMM1013 MANAGEMENT PRINCIPLES TUTORIAL QUESTIONS Bachelor of Business Administration (Hons) (BA) Bachelor of Commerce (Hons) Accounting (AC) Bachelor of Business Administration (Hons) Banking & Finance (BF) Bachelor of Economics (Hons) Financial Economics (FE) Bachelor of Arts (Hons) English Language (EL) Bachelor of Science (Hons) Biomedical Science (BM) Bachelor of Science (Hons) Statistical Computing and Operations Research (SC) Bachelor of Information Technology (Hons) Communications & Networking (CN) Bachelor of Information Technology (Hons) Computer Engineering (CT) Bachelor of Information Technology (Hons) Information System Engineering (IA) Bachelor of Computer Science (Hons) (CS) Bachelor of Engineering (Hons) Electronic Engineering (EE) Bachelor of Science (Hons) Construction Management (CM) Bachelor of Science (Hons) Quantity Surveying (QS) Bachelor of Engineering (Hons) Materials & Manufacturing Engineering (MM) Bachelor of Science (Hons) Software Engineering (SE) Bachelor of Engineering (Hons) Mechanical Engineering (ME) Bachelor of Engineering (Hons) Civil Engineering (CI) Bachelor of International Business (Hons) (IN) Bachelor of Economics (Hons) Global Economics (GE) Tutorial 1: General Introduction 1. Ice-breaking session. 2. Self introduction by tutor and students. 3. Briefing on unit plan. 4....
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...THE KENYA UNIVERSITIES AND COLLEGES CENTRAL PLACEMENT SERVICE University of Nairobi, Kenya Science campus Telephone : 0723954927, 0734879662 Email : kuccps@uonbi.ac.ke Website : http://kuccps.uonbi.ac.ke P.O. Box 105166 – 00101 Nairobi KENYA UNIVERSITIES AND COLLEGES CENTRAL PLACEMENT SERVICE (KUCCPS) PROCEDURE FOR ONLINE APPLICATION FOR PLACEMENT TO UNIVERSITIES AND COLLEGES 2013 KCSE EXAMINATION CANDIDATES 1 INTRODUCTION The Kenya Universities and Colleges Central Placement Service (Placement Service) was established as a Body Corporate under Section 55 of the Universities Act No. 42 of 2012 with its functions being to, among others co-ordinate the Placement of Government Sponsored Students to Universities and Colleges. A placement Policy and procedure for placement was subsequently developed and approved by the Board of the Placement Service. Based on the total declared capacity for programmes under Government sponsorship, and the performance analysis of the 2013 K.C.S.E Examination results, the Placement Service has set the cut off point for admission to bachelors degree programme at B of 60 points for male candidates and B- of 58 points for female candidates. In addition, all Candidates with a minimum overall grade of C- are eligible to apply for diploma programmes. The Placement Service therefore wishes to inform the 2013 K.C.S.E Examination Candidates that the online application system will open for application on Monday, May 19, 2014 at 0000 hrs and will close on...
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...The goal of this exercise is to assess your understanding of the chi square test. Please read the problem carefully and answer the question. Good luck! Assume you have data below that displays the number of students who elect different undergraduate majors. Number of Students Selecting Different Majors | |Computer Sciences |English Literature | | | | |Pre-Med | | |Education |Engineering |Total | |50 |85 |25 |60 |80 |300 | We want to know whether those numbers differ due to chance. In other words, at 0.01 level of confidence, are some majors selected more often than others, or is the selection pattern essentially random? The null hypothesis is that the programs are equally preferred. Create a table that shows the computation of the Chi Square statistic [6 POINTS]. Use a decision rule to determine whether the null hypothesis is rejected or not [4 POINTS]. Solution: Ho: The majors are equally preferred (probability of liking each major = 1/5). HA: The majors are not equally preferred. (Using the Chi Square Statistic to evaluate to what extent the hypothesis and data have a good fit. [pic] Where, Oi is actual frequency observed in cell i ...
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...CHI-SQUARE TEST Adapted by Anne F. Maben from "Statistics for the Social Sciences" by Vicki Sharp The chi-square (I) test is used to determine whether there is a significant difference between the expected frequencies and the observed frequencies in one or more categories. Do the number of individuals or objects that fall in each category differ significantly from the number you would expect? Is this difference between the expected and observed due to sampling error, or is it a real difference? Chi-Square Test Requirements 1. Quantitative data. 2. One or more categories. 3. Independent observations. 4. Adequate sample size (at least 10). 5. Simple random sample. 6. Data in frequency form. 7. All observations must be used. Expected Frequencies When you find the value for chi square, you determine whether the observed frequencies differ significantly from the expected frequencies. You find the expected frequencies for chi square in three ways: I . You hypothesize that all the frequencies are equal in each category. For example, you might expect that half of the entering freshmen class of 200 at Tech College will be identified as women and half as men. You figure the expected frequency by dividing the number in the sample by the number of categories. In this exam pie, where there are 200 entering freshmen and two categories, male and female, you divide your sample of 200 by 2, the number of categories, to get 100 (expected frequencies) in each category. 2. You determine the expected...
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...Good Food Distribution– Web Sales Profitability TO: Operations Revenue Director FROM: Executive Analyst Team Introduction Good Food is a food distributor and is losing profits on items returned by customers that have been isolated as Ordering Errors. The objective is to determine what types of customers are creating the errors and present a solution to reduce the losses incurred due to the returned damaged products. 1. Qualitative analysis results indicate CSR orders are time consuming & less accurate. 2. Conduct quantitative analysis using independent variables to pinpoint errors. 3. Determine Cost & Profitability of Houston Division based on results. Current Revenue from Web Orders & CSR Orders Operation statistics have shown that we currently damage out (total Loss) 60% of all products that get returned due to this type of error. Products are not in proper condition to restock & sell. 24 Month- Division Revenue 24 Month Ordering Errors Total Loss (damages) Sample Size Analysis Sample Size TTL Losses $235,000,000 $152,750 $91,650 $24,641,347 $28,984 90% 10% ORDERS via Web ORDERS via CSR Figure 1 - Majority of Customers send orders via Web Table 1- $ Results Totals from Independent Variables Revenue from Web orders $22,350,277 Revenue from Calls/Fax $2,291,070 $ Error using Web $37,477 $ Error Fax/Calls $10,830 $ Error from Newer Customers < 1 yr $8,842 $ Errors from Older Customers $39,465 Conclusions Table 1 summary illustrates...
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...1) Prior to analysis, the data from a survey is arranged into a(n) ________. A) information graph B) data graph C) information matrix D) data matrix E) data table Answer: D Diff: 1 Page Ref: 266 AACSB: Analytic Skills Objective: LO 1 2) ________ refers to the creation of a computer file that holds the raw data taken from all of the acceptable completed questionnaires. A) Data entry B) Data coding C) Data matrix D) Data filing E) Data surveying Answer: A Diff: 2 Page Ref: 266 AACSB: Use of IT Objective: LO 1 3) ________ is the identification of code values that are associated with the possible responses for each question on the questionnaire. A) Data entry B) Data coding C) Data matrix D) Data filing E) Data surveying Answer: B Diff: 2 Page Ref: 226 AACSB: Analytic Skills Objective: LO 1 4) Errors that pertain to anything in the research process except sample size are known as: A) summarization errors B) non-sampling errors C) field errors D) generalization errors E) none of the above; all errors are derived from sample size Answer: B Diff: 2 Page Ref: 226 AACSB: Analytic Skills Objective: LO 3 5) Fieldworkers who cheat by submitting bogus questionnaires are an example of: A) intentional fieldworker error B) unintentional fieldworker error C) intentional respondent error D) unintentional respondent error E) none of the above; fieldworkers do not cheat Answer: A Diff: 1 Page Ref: 227 AACSB: ...
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...March 1st, 2013 Patrick Smith, Hiring Manager Advantage DataSystems Burnaby, BC Dear Mr. Smith, This letter is to express my interest in the recent job posting found on bestjobca.com. I am applying for the Marketing/Graphic Designer position at Advantage DataSystems. This job advertisement caught my attention because the auto parts industry is a business that both captures my interest and happens to be a hobby of mine as restoring vintage automobiles is something I enjoy doing in my spare time. I have recently obtained my Bachelor of Technology in the Graphic Communications Management program at Ryerson University. In addition to my Bachelor of Technology, I have also received my Bachelor of Commerce studying marketing. During my studies at Ryerson University, I have gained valuable experience in producing marketing templates including posters, brochures, logos and advertisement banners. As a member of Ryerson's Marketing for Students club, I have extensive knowledge working with popular designing software such as Photoshop, Dreamweaver, Creative Suite and Flash. Training in these programs have presented me with both technical and artistic skills that I feel could be an asset to Advantage DataSystems. Enclosed is a copy of my resume with further detail of my skills and experiences. Also, a copy of my design portfolio with past projects has been included for further consideration. I look forward to meeting with you in person and further discuss my availability...
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...ANSWERS Process of Science (9.21) How Is the Chi-Square Test Used in Genetic Analysis? Lab Notebook Chi-Square test for Case 1 | | | | | | | |Phenotype |Observed No. (o) |Expected No. (e) |(o-e) |(o-e) 2 |(o-e) 2 | | | | | | |e | |Red eyes |31 |33 |2 |4 |0.1212 | |Sepia eyes |13 |11 |2 |4 |0.3636 | | |0.4848 | |(2 (to the nearest ten-thousandth) | | Questions 1. Why is it important to remove the adults in the parental generation? It is important to keep the generations separate so that you know you are crossing only F1 flies. 2. What generation will their offspring be? The new offspring are the F2 generation. 3. Based on the data obtained, is the cross in Case 1 monohybrid or dihybrid? Explain. The cross is monohybrid because only one trait –eye color– is involved...
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...1(Age and planning to avoid tax) * The Chi square value of 2.375 in comparison to the critical value of 7.81 in the degrees of freedom shows that there is no observable difference. * This is because there is a reliance on the data, whereby we can accept the null hypothesis which signifies a correlation between age and planning to avoid tax. * The majority of people are less likely to avoid tax or less likely admit that they are going to avoid tax. * For example 36 of 57 respondents under the age of 20 have said no to avoid tax. Cross Tab 2 (Gender and voluntary contribution) * The chi square of 9.613 and the critical value of 9.49 in the degrees of freedom shows that… * From looking at the value we would normally assume that there is an observable difference * However as the values are slightly different we shall reject this statement, assuming that there is no observable difference * Although we have recognised that there is a correlation between gender and their beliefs of voluntary contributions to tax; with females being willing to contribute to tax more than males. * An example 4 females in comparison to 1 male are more willing to pay voluntary contributions to tax Cross Tab 3 (employment status vs who benefits the most) * The Chi Square is 8.13 and the critical value of 15.51 on the degrees of freedom, * These show that there is no observable difference in employment status in terms of who benefits the most...
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...Open Bursary Application Form APPLICANT’S NAME: _____________________________________ APPLICATION FOR A BURSARY PERSONAL INFORMATION SURNAME: FIRST NAMES IN FULL: PREFERRED NAME: DATE OF BIRTH (dd/mm/yy): PLACE OF BIRTH: HOME LANGUAGE: CONTACT ADDRESS WHERE YOU WILL BE STAYING DURING THE ACADEMIC YEAR: IDENTITY NUMBER: NATIONALITY: TITLE: (MR/MRS/MISS/OTHER) CODE: YOUR HOME ADDRESS: CODE: YOUR CONTACT TELEPHONE NUMBERS: YOUR CONTACT EMAIL ADDRESS: FULL NAMES OF PARENTS/LEGAL GUARDIAN (IF YOU ARE STILL A MINOR): ADDRESS OF PARENTS/LEGAL GUARDIAN: CODE: CONTACT TELEPHONE NUMBERS OF PARENTS/LEGAL GUARDIAN: HAVE YOU EVER BEEN CONVICTED OF A CRIMINAL OFFENCE? IF YES, PLEASE GIVE PARTICULARS STATE OF HEALTH: APPLICANT’S NAME: _________________________________ Page 2 CURRENT STUDENT DETAILS MID-TERM, MATRICULATION OR EQUIVALENT QUALIFICATION CERTIFICATE OBTAINED: SCHOOL: TOWN/CITY: SCHOOL ACHIEVEMENTS PROVINCE: PERCENTAGES / SYMBOLS ATTAINED GRADE 12 RECORD (MATRIC) SPECIFY SUBJECTS HG SYMBOL HG% SG SYMBOL SG% EXAMINATION WRITTEN IN: PERCENTAGES (FROM N5/N6) TECHNICAL COLLEGE N5 N6 70% AND ABOVE APPLICANT’S NAME: _________________________________ Page 3 EDUCATIONAL QUALIFICATIONS TERTIARY EDUCATION/CURRENT STUDIES PLEASE SELECT YOUR STUDY AREA OF CHOICE FROM THE LIST BELOW BY MARKING WITH “x” BACHELOR OF ENGINEERING BACHELOR OF SCIENCE IN ENGINEERING N.D. ELECTRICAL ENGINEERING (LC) N.D. INFORMATION TECHNOLOGY N.D. ACCOUNTING BACHELOR...
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...variables Informativeness Irritation Credibility Personalization AttitudePrivacy AttitudeAd Entertainment Unobserved, exogenous variables e2 e1 e3 Variable counts (Group number 1) Number of variables in your model: 13 Number of observed variables: 10 Number of unobserved variables: 3 Number of exogenous variables: 10 Number of endogenous variables: 3 Parameter summary (Group number 1) Weights Covariances Variances Means Intercepts Total Fixed 4 0 0 0 0 4 Labeled 0 0 0 0 0 0 Unlabeled 8 0 10 0 0 18 Total 12 0 10 0 0 22 Models Default model (Default model) Notes for Model (Default model) Computation of degrees of freedom (Default model) Number of distinct sample moments: 55 Number of distinct parameters to be estimated: 18 Degrees of freedom (55 - 18): 37 Result (Default model) Minimum was achieved Chi-square = 1110.628 Degrees of freedom = 37 Probability level = .000 Group number 1 (Group number 1 - Default model) Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates Regression Weights: (Group number 1 - Default model) Estimate S.E. C.R. P Label...
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...Letter of Transmittal January 06, 2013. MD. MANIR HOSSIN Lecturer Department of Management Narsingdi govt. College. Sub: Compensation Management and Employee Satisfaction of Prime Bank Limited Dear Sir, This is a great pleasure for me to submit the report, which is a partial requirement for the BBA program. I have prepared my report on” Compensation Management and Employee Satisfaction of Prime Bank Limited.” I have tried my best to explain my learning and experience in this report .I have gathered information from practical operations. The report is prepared under your supervision and respectfully acknowledges your guidance and help. We will be glad to clarify any queries regarding this report. I, therefore, hope your kind human and consideration will inspire help us to develop our knowledge about the financial company analysis. Sincerely yours, ASRAFUL ISLAM Roll No: 9828817 Registration No: 1845044 Session: 2010-2011 Department of Management Narsingdi Govt. College. Student’s Declaration I’m Asraful Islam of Bachelor of Business Administration (BBA)2nd Batch bearing Roll- 9828817 from Department of Management, Narsingdi Govt. College, Narsingdi would like to declare here that a term paper on “Compensation...
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.../* Name: Gian Simin Alice Matric No: 1401733I Class: PE08 */ #include <stdio.h> #include <conio.h> void showMenu1(void); void showMenu2(void); void getLowesttempA(void); void getHotdaysA(void); void getMeantempA(void); void getHottestdayA(void); void getLowesttempB(void); void getHotdaysB(void); void getMeantempB(void); void getHottestdayB(void); void showMenu(void); void getPwd(char* pwd); int chkPwd(char* pwd); char systemPwd[]= "abc123"; void main(void) { char userPwd[7]; int tries, status; char userInput; while (1) { status=0; tries=0; puts("Please enter password.\n"); do { getPwd(userPwd); status=chkPwd(userPwd); if (status==0) puts("Incorrect password, please try again.\n"); } while (tries < 3 && status == 0); status=1; if (status==0) puts("Sorry, access denied."); else { puts ("You may now accessed to the temperature values for the month od March and July 2013.\n"); puts("Please select an option A, B or Q.\n"); do { showMenu1(); userInput=getch(); switch (userInput) { case 'a': case'A': puts("You have selected option A"); do { showMenu2(); userInput=getch(); switch (userInput) { case 'c': case 'C': getLowesttempA(); break; case 'd': case 'D': getHotdaysA(); break; case 'e': case 'E': getMeantempA(); break; case 'f': case 'F': getHottestdayA(); break; case 'l': case...
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...香港大学 网申链接 http://www.als.hku.hk/admission/tpg/welcome.htm 网申账号登录链接 https://sweb.hku.hk/tola/servlet/CreateUserScreen/loginForm 课程链接 http://www.als.hku.hk/admission/tpg/prospectus/2015/faculties_index.html 各个专业课程信息以及联系方式 http://www.als.hku.hk/admission/tpg/prospectus/2015/downloadable_application.html application fees:300hkd 专业： 工程学院 MSc in Computer Science 计算机科学 http://www.cs.hku.hk/msc/home/director_message.html MSc in Electronic Commerce and Internet Computing 电商 http://www.ecom-icom.hku.hk/home/welcome.asp MSc （Engineering） Building Services Engineering 屋宇设备工程／建筑设备工程 http://www.mech.hku.hk/bse/ MSc(Eng) in Environmental Engineering 环境工程 in Geotechnical Engineering 土木工程 in Infrastructure Project Management 基础设施项目管理 in Structural Engineering 结构工程 in Transportation Engineering 交通运输工程 http://www.als.hku.hk/admission/tpg/prospectus/2015/faculties_engineering_taught_mse_ee.html MSc(Eng) in Electrical and Electronic Engineering(Three Streams) EE 电子电气工程 http://www.eee.hku.hk/study/postgrad_overview.html MSc(Eng) in Energy Engineering 能源工程 http://www.eee.hku.hk/study/postgrad_overview.html MSc(Eng) in Industrial Engineering and Logistics Management 供应链物流管理 http://www.als.hku.hk/admission/tpg/prospectus/2015/faculties_engineering_taught_mse_ielm.html MSc in Mechanical Engineering 机械工程 http://www.mech.hku.hk 理学院 MSc in Environmental Management 环境管理 http://www.scifac.hku.hk/science/prospectives/pg/coursework/envmgt/index...
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