1. At one of the Management Institutes, a sample of
Get college assignment help at Smashing Essays Question 1. At one of the Management Institutes, a sample of 55 second Year MBA students was selected, and information gathered relating to their age, background of graduation, work experience prior to joining MBA, CGPA score at the end of First Year, and area of specialization. The collected data is given below: a. Present the above data with the help of tables, charts and graphs.b. Calculate the measures of location and dispersion of CGPA, age and work experience for all backgrounds and specializations. Combine these measures, wherever possible, for all the backgrounds and specializations separately. Discuss the findings.c. Study and comment on correlations between CGPA and age for students of all backgrounds viz. commerce, science etc., d. Summarize your findings and present a managerial report. Attachment 1 Attachment 2 ATTACHMENT PREVIEW Download attachment Page 1.jpg Quantitative Methods for Management At one of the Management Institutes, a sample of 55 second Year MBA students was selected, and information gathered relating to their age, background of graduation, work experience prior to joining MBA, CGPA score at the end of First Year, and area of specialization. The collected data is given below: No. CGPA Background Specialisation Work Experience Age (in years) 1 3.24 Commerce Finance 2 23 2 3.14 Commerce Finance 21 3 3.72 – Commerce Finance -NAN 23 4 3.06 Commerce Finance 21 3.14 Commerce Finance 22 6 3.14 Commerce Finance 23 3.06 Commerce Finance 22 8 3.17 Commerce Finance 21 9 2.97 Commerce Finance 22 10 3.14 Commerce Finance 23 11 3.69 Commerce Finance 24 12 2.85 Commerce Finance 25 13 2.92 Commerce Marketing 23 14 2.79 Commerce Marketing 25 15 3.22 Commerce Marketing 22 16 2.87 Commerce Marketing 22 17 3.14 Commerce Marketing 22 18 3.17 Commerce Marketing 23 19 3.22 Economics Finance 26 20 2.58 Economics Finance 25 21 3.36 Economics Finance 22 22 3.17 Economics Marketing 23 2.59 Economics Marketing 24 24 2.97 Engineer Human Resources 31 25 2.92 Engineer Marketing 23 26 3.03 Engineer Marketing 23 27 2.79 Engineer Marketing 25 28 2.77 Engineer Marketing 20 w ww 23 2.97 Engineer Marketing 25 30 3.1 Engineer Marketing 27Read more ATTACHMENT PREVIEW Download attachment Page 2.jpg 31 3.33 Engineer Marketing 24 32 2.65 Engineer Marketing 23 33 3.14 Engineer Marketing 24 34 2.97 Engineer Marketing 23 35 N N N – 3.39 Engineer Marketing 24 36 Engineer Marketing 3 23 37 3.3 Engineer Marketing 27 38 2.94 Engineer Marketing w a 24 30 3.25 Engineer Marketing 23 40 3.14 Engineer Systems 23 41 3.36 Engineer System 26 42 2.95 Information Finance 24 43 2.98 Technology Finance UN A W 23 44 2.82 Information Marketing 24 45 2.98 Information Marketing 26 46 3.33 Information Marketing 47 2.96 Information Marketing 48 3.67 Information ystem 49 3.22 Science UN AN U 27 25 Finance 25 50 3.14 Science Finance 22 51 3.17 Science Finance 26 52 3.25 Science Resources 21 53 3. 10 Science Marketing 2.85 Science W NOA W 22 54 Marketing 24 55 3.25 Science Marketing 2 22 a. Present the above data with the help of tables, charts and graphs. b. Calculate the measures of location and dispersion of CGPA, age and work experience for all backgrounds and specializations. Combine these measures, wherever possible, for all the backgrounds and specializations separately. Discuss the findings. Study and comment on correlations between CGPA and age for students of all backgrounds viz. commerce, science etc., d. Summarize your findings and present a managerial report.Read more
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ATTACHMENT PREVIEW Download attachment Screen Shot 2019-07-30 at 9.05.41 PM.png Project 112 days Initial Study 10 days Study Existing System 3 days Carry Out |nterview(s) 2 days Prepare Documentation 1 wk Feasibility Study 19.5 days Identify Problems 5 days understn and Analyse Problems 3.5 days Estimate Project Cost 5 days Assess Project Risk 2 days Propose Solution 3 days Task Scheduling 1 day Deliverable to Project Manager 0 days Requirement Analysis 15.5 days Investigate Current Environment 1.5 wks Investigate and Define Requiremer8 days Requirements Specifications 23 days Prepare Specifications 6 days Prepare Use Case Diagram 6 days Prepare Data Dictionary 6 days Prototyping 1 wk System Design 8 days Design New System 6 days Design Test Plan 16 hrs Coding
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