High accuracy in SC is most to score 700+. This section is very tricky, but can be mastered with practice.
This section tests your knowledge of Grammar. Now, don't go crazy thinking that you need to remember whole of grammar from middle school. The good news is that the GMAT tests only a limited set of grammar rules.
A typical sentence correction question in GMAT ususlly test your knowledge in one or more of the below given topics:
-> Verb Tense
-> Pronoun
-> Parallelism
-> subject verb agreement.
-> Idioms
-> Misplaced Modifiers.
I suggest you to write these topics on a page and paste in in front of your study table. This will always remind you of the possible errors, you should see in a sentence.
The first step to master SC is, revise first 4 topics from your old grammar book. Idioms and misplaced modifier are new topics, and I will post more on these topics later.
Once you are done with your basics, immediately get a copy of Manhattan SC. Keep it as your reference book, and practice questions from the below recommended sources.
Recommended Books od practice
-> Offical Guide - 10th or 11th edition.
-> GMAT Verbal Review - The Official guide
-> 1000SC
We have put the 1000SC question with their answers on different pages. Click here to access the 1000SC discussion links.
Sunday, 15 July 2007
Sentence Correction
Saturday, 14 July 2007
How to choose your MBA Programme
Last week rediff.com published on article on selcting you MBA program.
You can access the same here
Friday, 13 July 2007
Reading Comprehension
Contents will be added soon to this section.
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Data Sufficiency
Most people think that data sufficiency is one of the toughest things in the GMAT. Believe me, its one of the simplest things. Unlike PS, here, you don't have to solve the problem, rather you have to classify it according to 5 fixed answer choices.
I will soon publish a flowchart, which will help you to reach the correct option with minimum effort.
Strategies:
1. Memorize the five answer choices; they're the same for each and every Data Sufficiency question.
2. Be careful not to carry over any information from one numbered statement to another. (Making this mistake is remarkably easy, especially under time pressure and in a momentary lapse of concentration.)
3. If a question asks for a numerical value (as opposed to a quantitative expression that includes variables), the question is answerable only if a numbered statement (1 or 2) yields one and only one possible numerical answer--not a range of values.
4. If you can eliminate either answer choice (A) or (B), then you can also eliminate answer choice (D).
5. If either numbered statement (1 or 2) alone suffices to answer the question, then you can eliminate answer choices (C) and (E).
6. In distinct contrast to Problem Solving geometry figures, Data Sufficiency figures are not necessarily drawn proportionately--unless a figure indicates explicitly that it is drawn to scale. Do NOT rely on your eye to measure angle sizes, line segment lengths, or areas. Instead, handle any Data Sufficiency question using your knowledge of mathematics along with the numbers provided.
7. Data Sufficiency questions are designed to test you primarily on quantitative concepts, not on your ability to manipulate numbers (that's what Problem Solving questions are for). So if you find yourself doing a lot of pencil work, you're probably on the wrong track.
8. Just as in Problem Solving questions, in Data Sufficiency questions cast in a real-world setting you should make reasonable real-world assumptions. Don't split hairs by looking for subtle meanings or ambiguous language. The test-makers are not out to trick you in this way.
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Monday, 9 July 2007
US MBA ranking - Supply Chain/Logistics
US MBA ranking by specialization - Supply Chain/Logistics
1. Massachusetts Institute of Technology (Sloan)
2. Michigan State University (Broad)
3. Arizona State University–Main Campus (Carey)
4. Ohio State University (Fisher)
5. Carnegie Mellon University (Tepper) (PA)
6. Stanford University (CA)
7. Pennsylvania State University–University Park (Smeal)
Purdue University–West Lafayette (Krannert) (IN)
9. University of Pennsylvania (Wharton)
10. University of Tennessee–Knoxville
11. University of Michigan–Ann Arbor (Ross)
12. University of Maryland–College Park (Smith)
13. Harvard University (MA)
14. Columbia University (NY)
Northwestern University (Kellogg) (IL)
16. Georgia Institute of Technology
Indiana University–Bloomington (Kelley)
18. University of Wisconsin–Madison
19. University of Arkansas–Fayetteville (Walton)
University of California–Los Angeles (Anderson)
University of North Carolina–Chapel Hill (Kenan-Flagler)
22. Dartmouth College (Tuck) (NH)
23. Duke University (Fuqua) (NC)
University of Chicago
University of Minnesota–Twin Cities (Carlson)
