Thank you for using the timer - this advanced tool can estimate your performance and suggest more practice questions. We have subscribed you to Daily Prep Questions via email.
Customized for You
we will pick new questions that match your level based on your Timer History
Track Your Progress
every week, we’ll send you an estimated GMAT score based on your performance
Practice Pays
we will pick new questions that match your level based on your Timer History
Not interested in getting valuable practice questions and articles delivered to your email? No problem, unsubscribe here.
Thank you for using the timer!
We noticed you are actually not timing your practice. Click the START button first next time you use the timer.
There are many benefits to timing your practice, including:
Join us in a live GMAT practice session and solve 30 challenging GMAT questions with other test takers in timed conditions, covering GMAT Quant, Data Sufficiency, Data Insights, Reading Comprehension, and Critical Reasoning questions.
Do RC/MSR passages scare you? e-GMAT is conducting a masterclass to help you learn – Learn effective reading strategies Tackle difficult RC & MSR with confidence Excel in timed test environment
Prefer video-based learning? The Target Test Prep OnDemand course is a one-of-a-kind video masterclass featuring 400 hours of lecture-style teaching by Scott Woodbury-Stewart, founder of Target Test Prep and one of the most accomplished GMAT instructors.
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Select the dropdowns below and click "Submit" to add this question to your Error log.
Difficulty:
5%
(low)
Question Stats:
89%
(01:44)
correct 11%
(01:46)
wrong
based on 1616
sessions
History
Date
Time
Result
Not Attempted Yet
The two graphs show the probability of having moved (changed residence) within the past 10 years by percentiles of per capita consumption for individuals in rural and urban India. Note that the probability scales on the two graphs are different.
Use the drop-down menus to create statements that are consistent with the information presented.
For individuals at the 99th percentile of the per capita consumption distribution, the probability of having moved within the past 10 years for rural India is that for urban India.
The range of the probability of having moved within the past 10 years for urban India is that for rural India.
The two graphs show the probability of having moved (changed residence) within the past 10 years by percentiles of per capita consumption for individuals in rural and urban India. Note that the probability scales on the two graphs are different.
Use the drop-down menus to create statements that are consistent with the information presented.
For individuals at the 99th percentile of the per capita consumption distribution, the probability of having moved within the past 10 years for rural India is that for urban India.
The range of the probability of having moved within the past 10 years for urban India is that for rural India.
Show more
The graphs show the probability of moving of different sections of people in rural and urban India. The individuals have been divided into 7 sections (10th percentile of PCC, 20th percentile of PCC etc) and their probabilities are given. So in Urban India, probability of moving is 0.06 for '10th percentile of PCC individuals.' (for this group). For 99th percentile of PCC group, it is about 0.2 etc.
For individuals at the 99th percentile of the per capita consumption distribution, the probability of having moved within the past 10 years for rural India is ____ that for urban India.
For rural India, at the '99th percentile of PCC' probability of moving is about 0.06. For urban India, at the '99th percentile of PCC' probability of moving is about 0.2. Hence for rural India, it is less. ANSWER - less than
The range of the probability of having moved within the past 10 years for urban India is ____ that for rural India.
The range for urban India is about 0.2 - 0.06 = .14 The range for rural India is about .07 - .015 = .055 The range for urban India is much greater. ANSWER - greater than
Even if we don't know the 0%ile and 100%ile.. we can see that the probability itself is (axis values) different (greater gap) for these 2 categories. Also Range is defined by the (largest value - minimum value) so the range of probability is known in the question.
FiringBullets
How can the range be defined here, if we do not know the probability of 0%ile and 100%ile person in those regions?
These are some of the comments from experts on gmat club and Reddit. I don’t have permission to quote them.
Many of our understanding about percentiles are wrong. You can look it up further on google.
“A percentile divides data into 100 equal parts, requiring 99 divisions or tick marks. These divisions are called percentiles. For example, if your score is at the 1st percentile, it means all scores below the 1st tick mark are lower than yours, placing you somewhere between the 1st and 2nd tick marks. Being in the 99th percentile means all scores below the 99th tick mark (the last one) are lower than yours, placing you somewhere between the 99th mark and the end. Therefore, there is no 100th percentile.”
“99th percentile means you scored better than 99% of people — and 1% scored either the same or better. 100th percentile would mean you scored better than 100% of people including yourself, which would be impossible because - as you said - you can’t score better than yourself. 0th percentile would mean you scored better than 0% of people, meaning 100% of people scored either better or the same as you. This is possible because you could have just gotten the lowest possible score.”