-
BREAKING: Target Test Prep releases Brand New 2026 On Demand GMAT prep course
Redeem
GMAT Critical Reasoning: Infer Like a Master
Inference questions can appear in Critical Reasoning, Reading Comprehension, and Integrated Reasoning on the GMAT, so its crucial to master what the test isand is notasking you to do. The good news? Your goal is the same, regardless of the question type.
Try this problem from the free questions that come with the GMATPrep software and then well talk about how Inference questions work!
Roland: The alarming fact is that 90 percent of the people in this country now report that they know someone who is unemployed.Sharon: But a normal, moderate level of unemployment is 5 percent, with one out of 20 workers unemployed. So at any given time if a person knows approximately 50 workers, one or more will very likely be unemployed.
Sharon's argument is structured to lead to which of the following as a conclusion?
(A) The fact that 90% of the people know someone who is unemployed is not an indication that unemployment is abnormally high.
(B) The current level of unemployment is not moderate.
(C) If at least 5% of workers are unemployed, the result of questioning a representative group of people cannot be the percentage Roland cites.
(D) It is unlikely that the people whose statements Roland cites are giving accurate reports.
(E) If an unemployment figure is given as a certain percent, the actual percentage of those without jobs is even higher.
Lets start by talking about what you need to do for Inference questions in general. Then well tackle the problem.
Inference arguments will provide you mostly with a series of premises and theyll ask you to infer or to draw a conclusion in some way.
Now, heres the key: the test does not want you to infer or conclude in the way that you likely would in the real world. (Did I emphasize that word strongly enough? :D) In the real world, we conclude things that are likely to be true, given certain information.
On the GMAT, youll need to hold yourself to a higher standard: What must be true, based on the information you were given? (Not just what is likely or reasonable to believe.)
Okay, lets dive into this problem and see how this what must be true? concept works.
Step 1: Identify the Question
How do you know that this is an Inference question in the first place?
The question stem refers to the answer choices as possible conclusions:
lead to which of the following [the answers] as a conclusion?
Critical Reasoning (CR) questions may also ask you what can be inferred. (On Reading Comp and Integrated Reasoning, you might see the words suggest or imply in the question stem.)
In all cases, the question is asking you what must be true based on the information youve been given so far.
Step 2: Deconstruct the Argument
Roland finds it alarming that 90% of people say they know someone who is unemployed.
Sharons response starts with the word but, so she doesnt agree with something that Roland said. What?
According to Sharon, a normal, moderate level of unemployment is 5%. If you know 50 people who work, then 5% = 1 person.
So, if the unemployment rate is 5%, then youd know 1 person who is unemployed.
Do you know 50 people who work? You may not be close friends with 50 workers, but chances are you do know 50 people who workyour co-workers, your friends and family, acquaintances at the gym, the servers at your favorite restaurant,
Hmm. Sharon seems to think that its not a big deal that 90% of people know someone who is unemployed and maybe she has a point! If I know 50 people who work, and if just one is unemployed right now, that reflects an unemployment rate of just 5%not a very high rate. So most people probably do know someone who is unemployed at the moment.
Note that Sharon doesnt dispute Rolands statistic. She just says that his figure isnt surprising. She thinks its pretty normal and explains why.
Heres what my notes looked like, taken as I read the argument:
The bracketed text at the end was not stated in the argument. This is my own conclusion, in my own words. I use the brackets to signal to myself that Im doing my own thinking here; Im not writing what the argument actually stated.
Step 3: State the Goal
On Inference questions, the goal is to find the answer that must follow from the given information in the argument.
The most common trap on this question type is an answer that goes too farwhat I call a real-world conclusion. A real-world conclusion might be true, and even might be likely to be true, but it doesnt have to be trueso its not the right answer on the GMAT.
Step 4: Work from Wrong to Right
All right, lets dive in.
(A) The fact that 90% of the people know someone who is unemployed is not an indication that unemployment is abnormally high.
Roland is alarmed. Sharon isnt and she has a reasonable explanation for why Rolands statistic isnt actually alarming. This choice fits Sharons argument: she doesnt think that Rolands statistic indicates that unemployment is unusually high.
(B) The current level of unemployment is not moderate.
This one is a double trap. First, this goes along with what Roland is saying, but the question asks about Sharons argument, not Rolands. Thats trap #1.
Trap #2: We dont technically know what the current level of unemployment is! The argument says only that 90% of people currently know someone who is unemployed.
If anything, we could possibly real-world infer from Sharons argument that the current level is somewhere around 5%, and she calls this level normal and moderate. So a choice that says it is not moderate does not match what Sharon is saying.
(C) If at least 5% of workers are unemployed, the result of questioning a representative group of people cannot be the percentage Roland cites.
This one is directly contradicted by the information given; if you follow Sharons math, she shows that a 5% unemployment stat could easily lead to 90% of people knowing that someone is unemployed.
Theyre trying to trap you into thinking that Sharons But means that she disputes Rolands statistic in the first place. She doesnt; she just thinks that his interpretation of what the statistic means is wrong.
(D) It is unlikely that the people whose statements Roland cites are giving accurate reports.
This is another trap based on Sharons starting word, but. Sharon is not disputing Rolands statistic, just how he interprets it. He finds it alarming; she finds it normal.
(E) If an unemployment figure is given as a certain percent, the actual percentage of those without jobs is even higher.
In the real world, this may very well be true. The method used to estimate the percentage may be missing certain categories of people or something like that. The argument, though, doesnt provide enough information to conclude that this must be true. Id call this one a real-world trap: it probably is true a lot of the time in the real world, but it doesnt have to be true.
The correct answer is (A). Sharons argument is set up to conclude that Rolands 90% figure actually isnt unusual and so unemployment isnt necessarily abnormally high. If anything, Sharons figures seem to show that the 90% figure goes along with normal, moderate levels of unemployment, not unusually high levels.
What did you learn on this problem? Come up with your own takeaways before you read mine below.
Key Takeaways for Inference Problems:
(1) Know how to identify the question type. On CR, this usually means some mention of the word infer or some reference to a conclusion in the answers below (not in the argument above).
(2) Lay out the facts very clearly. Articulate to yourself what the facts do and dont tell you. Dont assume anything and dont try to draw any real-world conclusions!
(3) Look for an answer that must follow from the information you were already given. Be wary of real-world conclusion traps: ones that might be true or are even pretty likely to be true but dont have to be true. Youre not looking for a reasonable conclusion. Youre looking for a must be true conclusion.
* GMATPrep questions courtesy of the Graduate Management Admissions Council. Usage of this question does not imply endorsement by GMAC.
Recent Articles
- Best MBA for Real Estate: Top Schools, Career Paths & How to Choose
- The Best MBA Programs for Private Equity and Venture Capital
- Do You Need a Finalized Test Score Before You Hire an MBA Admissions Consultant?
- Best MBA for Entrepreneurship: Top Programs for Founders, Startups & Family Business Owners
- Am I Too Young for a Top MBA Program? Or Too Old?
Archive
- May 2026
- April 2026
- March 2026
- February 2026
- January 2026
- December 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- August 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- April 2015
- March 2015
- February 2015
- January 2015
- December 2014
- November 2014
- October 2014
- September 2014
- August 2014
- July 2014
- June 2014
- May 2014
- April 2014
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- March 2013
- February 2013
- January 2013
- December 2012
- November 2012
- October 2012
- September 2012
- August 2012
- July 2012
- June 2012
- May 2012
- April 2012
- March 2012
- February 2012
- January 2012
- December 2011
- November 2011
- October 2011
- September 2011
- August 2011
- July 2011
- June 2011
- May 2011
- April 2011
- March 2011
- February 2011
- January 2011
- December 2010
- November 2010
- October 2010
- September 2010
- August 2010
- July 2010
- June 2010
- May 2010
- April 2010
- March 2010
- February 2010
- January 2010
- December 2009
- November 2009
- October 2009
- September 2009
- August 2009