Events & Promotions
|
|
GMAT Club Daily Prep
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
Track
Your Progress
Practice
Pays
Not interested in getting valuable practice questions and articles delivered to your email? No problem, unsubscribe here.
Jul 0901:00 PM EDT
-02:00 PM EDT
More Target Test Prep students are earning 100th percentile GMAT scores. Don’t settle for less when the Target Test Prep course gives you everything you need to score high on the GMAT. Start your 5-day free trial today.
Jul 1508:00 PM PDT
-09:00 PM PDT
Full-length FE mock with insightful analytics, weakness diagnosis, and video explanations!
Jul 1609:30 AM EDT
-11:30 AM EDT
Is INSEAD your dream b-school and you're looking for solid prep and application strategies to get there? Check out Barkavi’s end-to-end journey to know how she did! Get insights into the INSEAD admissions process, know what Adcoms look at, and more!
Jul 1611:00 AM EDT
-12:00 PM EDT
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.
Jul 1911:00 AM IST
-01:00 PM IST
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
17 Oct 2024, 10:18
Kudos
Bookmarks
Dropdown 1: Strongly Positive
Dropdown 2: 0.50
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
5%
(low)
Question Stats:
86% (01:19) correct
14%
(01:49)
wrong
based on 467
sessions
History
Date
Time
Result
Not Attempted Yet
Based on the given information, use the drop-down menus to most accurately complete the following statements.
1. The correlation between income and education for employees in the study is .
2. If an employee with 16 years of education or less were selected at random, the probability that the employee would Female is .
Attachment:
IncomeVsYearsOfEducation.jpg [ 27.93 KiB | Viewed 3699 times ]
ShowHide Answer
Official Answer
Dropdown 1: Strongly Positive
Dropdown 2: 0.50
18 Oct 2024, 00:06
Kudos
Bookmarks
here's how you should do it to make it fast:
A) Ananlyse the graph, see axis and understand what the graph tells.
I clearly shows a direct relation between the 2 parameter, upward line , both increase simultaneously, note it doesnt have to be exactly a 45 degree line, and also there can be a few exceptions (outliers can exist in a data set, but if they are significantly high, i.e. high enough to not make a reasonable pattern then they aren't correlated)
B) now look at the line 16 years of exp and all values on/ under it: no. of females =6, total =6+7 =13 . hence, 6/13=~.5
A) Ananlyse the graph, see axis and understand what the graph tells.
I clearly shows a direct relation between the 2 parameter, upward line , both increase simultaneously, note it doesnt have to be exactly a 45 degree line, and also there can be a few exceptions (outliers can exist in a data set, but if they are significantly high, i.e. high enough to not make a reasonable pattern then they aren't correlated)
B) now look at the line 16 years of exp and all values on/ under it: no. of females =6, total =6+7 =13 . hence, 6/13=~.5
18 Oct 2024, 12:00
Kudos
Bookmarks
1. We are first asked to find the correlation between income and years of education.
2. Notice that as the income increases, the years of education tends to do so too. So, the correlation must be positive and in our case, it'll be strongly positive.
3. If an employee with 16 years of education or less is chosen randomly, what is the probability that they're female? Let's look at the graph to see what employees we're considering.
4. There are 6 males and 6 females. So, the probability will be \(\frac{6}{6+6} = \frac{6}{12} = \frac{1}{2}\) or 0.50.
TrendIncomeEducation.jpg [ 23.73 KiB | Viewed 3251 times ]
BoxIncomeEducation.jpg [ 24.89 KiB | Viewed 3228 times ]
2. Notice that as the income increases, the years of education tends to do so too. So, the correlation must be positive and in our case, it'll be strongly positive.
3. If an employee with 16 years of education or less is chosen randomly, what is the probability that they're female? Let's look at the graph to see what employees we're considering.
4. There are 6 males and 6 females. So, the probability will be \(\frac{6}{6+6} = \frac{6}{12} = \frac{1}{2}\) or 0.50.
Attachment:
TrendIncomeEducation.jpg [ 23.73 KiB | Viewed 3251 times ]
Attachment:
BoxIncomeEducation.jpg [ 24.89 KiB | Viewed 3228 times ]
