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    • Introduction to Managerial Economics >
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    • Tips From JBIMS Students >
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  • What is Cluster Analysis
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  • Defining Output Variables and Analyzing the Results
  • Using Historical Data to Model Uncertainty
  • Models with Correlated Uncertain Variables
  • Creating and Interpreting Charts
  • Using Average Values versus Simulation
  • Optimization and Decision Making
  • Formulating an Optimization Problem
  • Developing a Spreadsheet Model
  • Adding Optimization to a Spreadsheet Model
  • What-if Analysis and the Sensitivity Report
  • Evaluating Scenarios and Visualizing Results to Gain Practical Insights
  • Digital Marketing Application of Optimization
  • Advanced Models for Better Decisions
  • Business Problems with Yes/No Decisions
  • Formulation and Solution of Binary Optimization Problems
  • Metaheuristic Optimization
  • Chance Constraints and Value At Risk
  • Simulation Optimization
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  • Primary Scales of Measurement
  • Comparative Scaling
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  • Experiment Design: Controlling for Experimental Errors
  • A/B Testing: Introduction
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  • ANOVA – Introduction
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  • Common Descriptive Statistics for Quantitative Data
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  • New Page
  • Planning for data visualisation
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  • Preparation for efficient data analysis
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  • Structured Data from Delimited and Fixed-Width Sources
  • Preparing Tidy data sets

Sonam Jain, JBIMS Batch of 2011

Picture
CET -A different ball-game

With less than a month left for the written test, its time you all gear up and make the most of this time. CET is different from most of the other tests as there is no negative marking. So, one has to change his strategy massively. Unlike CAT, speed is as important in this test as is accuracy. Also, the break-up of marks (Written test: 200, GD:17, PI:17, Work-Experience: 2, 10th n 12th marks: 4) is very unique. It clearly shows the importance of the test vis-A-vis the gd-pi. A good score can strengthen your chances of making it to your dream college to a great extent. Some general things that one needs to keep in mind:

  1. Focus on your strengths. For all those who have a problem with quant, remember that there are only 20 questions based on Maths.
  2. Focus more on reasoning and English. Both these areas are extremely important as they are scoring and less time-consuming.
  3. To crack this test, speed is more important than anything else. An attempt of 140 with 100% accuracy will not assure you a seat in JBIMS. It is extremely important to increase your attempts with a decent accuracy rate.
Sharing my own experience

CET 2009 (percentile): 99.99
Written Score: 157


I started preparing for CET quite late, somewhere in mid-January. Since I had prepared well for CAT, my fundamentals were quite strong. So, I directly started giving mocks. However, this isn't advised in case this would be your first exam or you were not prepared well for your previous entrance tests. The biggest mistake that you could do would be solving papers without getting your fundamentals correct. So, first just solve set of 30-50 questions on various topics like quant, DI, logical reasoning, vocabulary, reading comprehensions, visual reasoning amongst others. Remember to time yourself while solving these. Also, alongwith giving mocks you also need to analyse your papers. Some students make the error of giving a mock everyday and sometimes even two mocks a day. Doing this will not ensure improvement, as you will keep repeating your mistakes. Analyse the paper by measuring your attempts, your accuracy, sections which took up time and sections which were scoring. This activity will help you identify your weak and strong areas. Make sure you work on your weak areas and polish your strong sections before giving the next mock test. Ideally, sit for a mock test every alternate day. I had a problem with visual reasoning because it's the only thing I had never encountered before. During the course of my preparation I worked really hard on these type of questions and the result were clearly indicative of my efforts. While giving the actual paper, I kept my practiced strategy intact. I solved some 90 questions in the first one hour, followed by the other 90 in the remaining time. I had a decent attempt of 180 in the final paper. While giving your mocks you can try different strategies, but in the process find the strategy that you are most comfortable with and stick to that one in your final paper. At the end of the day, keep in mind that it is just another aptitude test. Don't freak out and maintain your calm. All the best!

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  • Home
  • Applied Analytics
    • Analytics for Decision Making
    • Analytics for Marketing
    • Data Engine
    • Customer Insights
    • Analytics for Advance Marketing
  • Soft Skills
    • Adaptability
    • Confidence
    • Change Management
    • Unlearning and Learning
    • Collaboration and Teamwork
    • Cultural Sensitivity
  • Marketing
  • Finance
  • Economics
    • Introduction to Managerial Economics >
      • Basic Techniques
      • The firm: Stakeholders, Objectives and Decision Issues
      • Scope of Managerial Economics
    • Demand and Revenue Analysis >
      • Demand Estimation and Forecasting
      • Demand Elasticity
      • Demand Concepts and Analysis
    • Prodution and Cost Analysis >
      • Production Function
      • Estimation of Production and Cost Functions
      • Cost Concepts and Analysis I
      • Cost Concepts and Analysis II
    • Pricing Decisions >
      • Pricing strategies
      • Market structure and microbes barriers to entry
      • Pricing under pure competition and pure monopoly
      • Pricing under monopolistic and oligopolistic competition
    • Narendra Modi Development Model of Gujarat
  • JBDON Golf
  • Let's Talk
  • MBA Project Sharing
  • About Us
  • CET Knowledge Zone
    • Tips From JBIMS Students >
      • Prasad Sawant
      • Chandan Roy
      • Ram
      • Ashmant Tiwari
      • Rajesh Rikame
      • Ami Kothari
      • Ankeet Adani
      • Sonam Jain
      • Mitesh Thakker
      • Tresa Sankoorikal
    • Speed Techniques
    • CET Workshops
  • What is Cluster Analysis
  • Preparing Data and Measuring Dissimilarities
  • Data Reduction and Unsupervised Learning
  • Hierarchical and k-Means Clustering
  • Cluster analysis using excel and excel miner
  • Adding Uncertainty to a Spreadsheet Model
  • Defining Output Variables and Analyzing the Results
  • Using Historical Data to Model Uncertainty
  • Models with Correlated Uncertain Variables
  • Creating and Interpreting Charts
  • Using Average Values versus Simulation
  • Optimization and Decision Making
  • Formulating an Optimization Problem
  • Developing a Spreadsheet Model
  • Adding Optimization to a Spreadsheet Model
  • What-if Analysis and the Sensitivity Report
  • Evaluating Scenarios and Visualizing Results to Gain Practical Insights
  • Digital Marketing Application of Optimization
  • Advanced Models for Better Decisions
  • Business Problems with Yes/No Decisions
  • Formulation and Solution of Binary Optimization Problems
  • Metaheuristic Optimization
  • Chance Constraints and Value At Risk
  • Simulation Optimization
  • Marketing Analytics and Customer Satisfaction
  • Customer Satisfaction
  • Measurements and Scaling Techniques – Introduction
  • Primary Scales of Measurement
  • Comparative Scaling
  • Non-Comparative Scaling
  • Experiment Design: Controlling for Experimental Errors
  • A/B Testing: Introduction
  • A/B Testing: Types of Tests
  • ANOVA – Introduction
  • Example -Inspect Spray and Tooth Growth
  • Logit Model - Binary Outome and Forecastign linear regression
  • Social media Microscope
  • Text Summarization
  • N-Gram - Frequcy Count and phase mining
  • LDA Topic Modeling
  • Machine-Learned Classification and Semantic Topic Tagging
  • Visualisation and statistics (Political Advertising,Movie Theater and Data Assembly)
  • Excel Analysis of Motion Picture Industry Data
  • Displaying Conditional Distributions
  • Analyzing Qualitative Variables
  • Steps in Constructing Histograms
  • Common Descriptive Statistics for Quantitative Data
  • Regression-Based Modeling
  • Customer Analytics
  • Illustrating Customer Analytics in Excel
  • Customer Valuation Excel Demonstration
  • Understanding The Growth Of Data
  • Evaluating Methods Of Data Access
  • Communication journey
  • Data Journey
  • Finding Patterns In Data
  • New Page
  • Planning for data visualisation
  • Content Connection and Chart Legitibility
  • Preparation for efficient data analysis
  • Unstructured Data from Websites, APIs, and Other Important Sources
  • Structured Data from Delimited and Fixed-Width Sources
  • Preparing Tidy data sets