BREAKING: Target Test Prep releases Brand New 2026 On Demand GMAT prep course

Redeem

Target Test Prep · GMAT

Choose how you want to prepare

Learn live with an expert or move at your own pace. Every option includes the complete TTP study system.

★★★★★5.0559 reviews
GMATLiveTeach 7 seats left
Chris Peckover
NEXT LIVE COHORT

Oct 13 to Jan 7, 2027

with Chris Peckover

Schedule
Tue, Thu · 8:00 to 10:00 PM ET
Included
40 live hours + 6 months of GMAT OnDemand
  • Live instruction and real-time questions
  • Class recordings and assigned practice
View class & enroll
Limited cohort · enrollment openTarget Test Prep
EALiveTeach 5 seats left
Logan Thompson
EXECUTIVE ASSESSMENT

Sep 6 to Dec 6, 2026

with Logan Thompson

Schedule
Sun · 9:30 AM to 12:30 PM ET
Included
40 hours of live online classes plus six months of access to the complete TTP EA OnDemand course.
  • 165+ EA Score Guarantee
  • 4,100+ Quant, Verbal, and Integrated Reasoning practice questions
  • 400+ hours of in-depth video lessons
  • 3,000+ step-by-step video solutions
View EA class & enroll
Limited cohort · enrollment openTarget Test Prep
GMATOnDemand Start anytime
SELF-PACED MASTERCLASS

Target Test Prep GMAT OnDemand

Complete access from day one. Study on your schedule.

715+ score guarantee
$0to start then $127/mo
  • Personalized study plan and analytics
  • Thousands of lessons and practice questions

Compare the format, schedule, and included access before enrolling. Prices and seat counts shown reflect the supplied offer details.

GMAT Quant Review 2nd Ed.-Discrete Probability Example

Expert replies
by ananthbi » Wed Feb 06, 2013 5:58 am
Consider an experiment with events A, B, and C for which P(A) = 0.23, P(B) = 0.40, and P(C) = 0.85. Also, suppose that events A and B are mutually exclusive and events B and C are independent. Then

Step 1: P(A or B) = P(A)+P(B) (Since A and B are mutually exclusive)
= 0.23+0.40
= 0.63
Step 2: P(B or C) = P(B)+P(C)-P(B)P(C) (by independence)
= 0.40+0.85-(0.40)(0.85)
= 0.91
Step 3: P(A or C) and P(A and C) cannot be determined using the information given. But it can be determined that A and C are "not mutually exclusive" since P(A)+P(C)=1.08, which is greater than 1, and therefore cannot equal P(A or C); from this it follows that P(A and C) >= 0.08. Once can also deduce that P(A and C) <= P(A) = 0.23, since A∩C is a subset of A, and that P(A or C) >= P(C) = 0.85 since C is a subset of A∪C. Thus, one can conclude that 0.85 <= P(A or C) <= 1 and 0.08 <= P(A and C) <= 0.23

I do understand Step 1 and Step 2 but Step 3 I have difficulties understanding it. I also understand the part that A and C are "not mutually exclusive" but the rest of the statement beginning from P(A and C)>=0.08, I fail to comprehend. I tried hard but I cannot really understand that explanation.

Can someone please throw some light on this? I am just beginning to familiarize myself with Discrete Probability (which I am extremely bad at).

Source: GMAT Quant Review 2nd Edition
Join the discussion
Source: — Problem Solving |

by HerrGrau » Wed Feb 06, 2013 12:04 pm
Hi,

I took a quick look at the Quant Review second edition but I couldn't find this question. Maybe I missed it. What number is it?

HG.
"It is a curious property of research activity that after the problem has been solved the solution seems obvious. This is true not only for those who have not previously been acquainted with the problem, but also for those who have worked over it for years." -Dr. Edwin Land

GMAT Blog and GMAT Tutoring: www.AtlanticGMAT.com
Join the discussion

by ananthbi » Wed Feb 06, 2013 1:57 pm
Hi,

This is a part of the example for Discrete Probability (Page 30) in the 2nd Edition. I was working my way through it and I was stumped by this example. Would appreciate if someone could explain it. Thanks again!
Join the discussion

by Tommy Wallach » Wed Feb 06, 2013 9:10 pm
Hey Anant,

Step 3 is made up of a few discrete parts.

Part 1: If the individual probabilities of A and C add up to something more than 1, then A and C can't be mutually exclusive. If they were, there'd be a 1.08 chance of getting (A or C) (because, in an OR situation, you always add up the individual probabilities), which is impossible.

Part 2: Because we know that A and C aren't mutually exclusive, we know there's at least some chance that they can happen at the same time. This chance has to be greater than .08 (the amount that the sum was bigger than 1). Why? Just because of the logic of probabilities. Let's look at an example, to be sure:

If I have a 75% chance of getting Prize A, and a 75% chance of getting Prize B, my odds of getting both will be (.75 * .75) = .5625. Notice that if I add up 75 and 75, I get 150. That's 50 more than 100%, yet my actual chance is 56%, which is bigger than 50. This will always be true. You can simply take it as a rule.

Part 3: Obviously the probability of two things (both of which have an individual probability of less than 100%) happening at the same time will always be less than the probability of just one of them happening (because when you need two things to happen, you multiply their probabilities together).

Part 4: By the same logic, the probability of one of two things (both of which have an individual probability of more than 0%) happening will always be bigger than the probability of only one of them happening. So P(A or C) must bigger than P(C).

Part 5: So P(A or C) must be between .85 and 1. And P(A and C) must be between .08 and .23 (The probability of just P(A)).

Did that help at all? : )

-t
Tommy Wallach, Company Expert
ManhattanGMAT

If you found this posting mega-helpful, feel free to thank and/or follow me!
Join the discussion

by ananthbi » Thu Feb 07, 2013 9:06 am
Thanks Tom! That was perfect and cleared a lot of questions I had. Appreciate the help!
Join the discussion