All GMAT Math Resources
Example Questions
Example Question #41 : Calculating Discrete Probability
We throw two dice. What is the probability that the sum of the two sides showing up is equal to ?
In this problem, the best way to calculate the answer is to count the possible outcomes. We can see that the sum can be obtained with the following sums: 2+6,3+5, 4+4, 5+3, 6+2 .
We have a total of 5 outcomes. As previously discussed, some sums are counted twice because in probabilty we study events as if they were successive events even when they are not. For this same reason, the 4+4 is counted only once, because a dice yielding a 4 followed by a dice yielding a 4 is the same as a dice yielding a 4 followed by a dice yielding a 4.
There are a total of possible outcomes and the final answer is .
Example Question #42 : Calculating Discrete Probability
Let's try to solve more complicated problems using the same logic as in the dice problems.
We have a standard -card deck. We draw two cards without replacement. What is the probabilty of drawing a pair?
Here we are asked for the probability of drawing any pair. Therefore, the first card can be any card and we can assign this event a probability of one.
Furthermore, the second card drawn must be the same card to form a pair. Therefore, its probability is .
We use 51 because we already have drawn a card. You will notice that to form a pair there are 3 other cards in the deck that can be drawn, for example if an ace is drawn first, there must be three other aces in the deck.
is the final answer
Example Question #291 : Arithmetic
We have a standard -card deck. We draw two cards without replacement. What is the probabilty of drawing a pair of aces?
In order to draw a pair of ace, the first card drawn must be an ace, which has a probability of being drawn of .
Since there are 4 aces in the deck. The second ace has a probability of being drawn of , since there are only three aces left in the deck.
Therefore to obtain the probability of these two successive events, we have to multiply each probability.
The final answer is given by , or
Example Question #292 : Arithmetic
We have a regular -card deck. We draw cards, without replacement, what is the probabilty that they are all of the same suit (either all spades, all hearts, all clubs or all diamonds)?
First of all, the first card can be any card, so the probabilty of drawing any card is 1, since it is necessarily a success. The second card must belong to the same suit (don't be confused by the fact that the cards can be red or black, whenever color is mentioned it is said to reference the suits), in total there are 13 cards by colors. Since we have already drawn one card, there are only 12 left out of a total of 51 cards, after we have drawn two card of the same suit, there will be only 11 cards of this suit left out of 50.
The probability is given by the following calculation :
Example Question #293 : Arithmetic
A woman can shoot a rifle in the desert and successfully hit the target with a probabilty of . If she shoots times in a row what is the probability that she hits the target only once?
The answer can be obtained by firstly calculating the probabilty of her missing twice and hitting the target once, in any order.
This probability is obtained by calculating .
is the probability of her failing, which is calculated by substracting .
Example Question #294 : Arithmetic
A woman shoots her rifle in the desert, she hits the target times out of . What is the probabilty that she hits the target at least once if she shoots times in a row?
The answer can be obtained by finding the opposite of the event 'she hits at least one target'. This event is 'the woman misses all her 4 shots'.
This probabilty is calculated by raising to the power of 4, since she misses all her 4 shots.
The result is then substracted from 1, 1 being the total of all the possible probabilities for all events in a given problem.
, which is the final answer.
Example Question #51 : Discrete Probability
We toss a coin times, what is the probabilty of obtaining a head on all tosses?
This simple problem asks us to find the probability of an event occuring 3 times.
A head shows up with a probability of , since we throw the coin thrice, the final answer is given by or .
Example Question #51 : Calculating Discrete Probability
A coin is tossed times, what is the probabilty of having a head showing up on the third toss?
This trick question is in fact very simple. Since the throws are independent (in other words, what happened before an event has no influence on the future outcomes), then the probabilty is , indeed there are no reasons for any of the head or tail to have more chance of showing up at any point.
Example Question #1841 : Problem Solving Questions
We flip a coin times. What is the probabilty of having at least one tail show up?
Again since we are asked to look for the probability of an event occuring at least once, we can take a shortcut and calculate the probability of the opposite event; 'no tail shows up'. The probability of this event is given by or .
We substract this to 1, the sum of all the probabilities, to obtain .
Logically, we can see that the probability of having a tail show up at least once in 5 flips should be pretty high since its probability is , therefore common sense supports our choice.
Example Question #51 : Calculating Discrete Probability
Presented with a deck of fifty-two cards (no jokers), what is the probability of drawing either a face card or a spade?
A face card constitutes a Jack, Queen, or King, and there are twelve in a deck, so the probability of drawing a face card is .
There are thirteen spades in the deck, so the probability of drawing a spade is .
Keep in mind that there are also three cards that fit into both categories: the Jack, Queen, and King of Spades; the probability of drawing one is
Thus the probability of drawing a face card or a spade is: