All GRE Math Resources
Example Questions
Example Question #164 : Data Analysis
In a particular high school, 200 students are freshmen, 150 students are sophomores, 250 students are juniors, and 100 students are seniors. Twenty percent of freshmen are in honors classes, ten percent of sophomores are in honors classes, twelve percent of juniors are in honors classes, and thirty percent of seniors are in honors classes.
If a student is chosen at random, what is the probability that that student will be a student who attends honors classes?
First calculate the number of students:
The probability of drawing an honors student will then be the total number of honors students divided by the total number of students attending the school:
Example Question #61 : Discrete Probability
In a particular high school, 200 students are freshmen, 150 students are sophomores, 250 students are juniors, and 100 students are seniors. Twenty percent of freshmen are in honors classes, ten percent of sophomores are in honors classes, twelve percent of juniors are in honors classes, and thirty percent of seniors are in honors classes.
If a student is chosen at random, what is the probability that that student will be a senior student and a student who does not attend honors classes?
First calculate the number of students:
The percentage of seniors that do not attend honors classes is:
Therefore, the probability of selecting a student who is a senior and one who does not attend honors classes is:
Example Question #61 : Discrete Probability
A card is drawn at random from a deck of fifty-two cards (no jokers). What is the probability of drawing a diamond, a card with an even number, or a card with a number divisible by three?
First, consider the probability of each individual event: drawing a diamond, an even number, or a number divisible by three.
Drawing a diamond, there are four suits, so:
Drawing an even number, there are five possible values present in each thirteen-card suit, so:
Drawing a number divisible by three, there are three possible values present in each thirteen-card suit, so
This problem deals with a union of probabilities, essentially a "this or that" option; however, since there are three events considered, the formula for the union follows the form:
The probability of drawing an even number that is also a diamond is:
The probability of drawing a diamond that is divisible by three is:
The probability of drawing an even number that is divisible by three is:
And the probability of drawing a number that is a diamond, even, and divisble by three is:
Therefore, the probability of this union is:
Example Question #61 : Data Analysis
Alex and Jeffery both apply to the same college that randomly accepts students. If Alex has a chance of being accepted and Jeffery has a chance of being accepted, what is the probability of the college accepting Jeffery and not Alex?
To solve this problem, we must first understand a basic concept of probability. In order to find the probability of two independent events happening, we multiply the probability of each of those two independent events happening together in order to find the probability of both of them occurring.
In this case, we know that Alex has a chance of being accepted and chance of being rejected.
We also know that Jeffery has a chance of being accepted and a chance of being rejected.
The question asks us the probability of the college accepting Jeffery, but not Alex, therefore we multiply the probability of the college accepting Jeffery, , by the probability of the college rejecting Alex, , together in order to answer this question.
or a chance of Alex being rejected by Jeffery being accepted.
Example Question #51 : How To Find The Probability Of An Outcome
If the probability of Martin losing his car keys next month is , that is the probability that Martin will not lose his car keys next month?
To solve this problem, we must first understand some of the basic concepts of probability. If the probability of an outcome is , that means that there is a chance of that outcome happening. Thus the probability of an outcome occurring can never exceed
This question asks the probability of Martin NOT losing his car keys. It tells us that the probability of him losing his car keys is , or . Because we know there is a chance he will either lose or keep his car keys and we know that probability of him losing his car keys, we simply subtract the probability of him losing his car keys from the total chance, or 90.25% chance that Martin will not lose his car keys next month.
Example Question #52 : Probability
A candy jar has skittles and M&M's. What is the percent chance, when randomly selecting two candies in a row without replacement, that both will be skittles? Round to the nearest percent.
To solve this problem, we must understand some basic concepts. In the jar, there are currently candies that can be chosen. Of these are skittles and are M&M's. This means that there is a or chance when randomly selecting a candy for the first time that it will be a skittle.
The question asks us the probability of selecting two skittles in a row, therefore we must once again calculate the probability of selecting a skittle a second time. After picking a skittle the first time, there are now candies in the jar and only of them are skittles now. This means that there is a chance of randomly selecting a skittle the second time.
Now that we have our two probabilities, to find the probability of both happening, we simply multiply them together, meaning there is chance of approximately chance of grabbing two skittles in a row from the jar.
Example Question #61 : Data Analysis
Terry draws cards from a standard card deck. What is the probability of him drawing a face card first and a club next?
There are twelve face cards (king, queen, and jack for each of the four suits) in a deck, so the probability of drawing a face card on the first draw is
Now, there are two potential situations for the second draw given he draws a face the first time; either he drew a face from the clubs or he didn't.
The probability of a face also being a club is
And the probability of the complement is then:
Were a face club drawn, the probability of drawing a club next would be
Since a club was removed from the deck.
Were a face club not drawn, the probability of drawing a club next would be
Therefore, the unconditional probability of drawing a club accounts for the probability of either of these scenaorios:
Now, for the probability of drawing the face first and the club next, it is the intersection of events:
Example Question #51 : Probability
Salisbury is at an ice cream shop that is somewhat limited in selection, but with a quality that makes up for it. There are ten flavors of ice cream and four kinds of toppings. If Salisbury orders the two-pair special, which is two random unique ice cream scoops and two random toppings, what is the probability of him getting vanilla and chocolate with almonds and sprinkles?
In this problem, the order of selection for ice cream and toppings does not matter, so it's dealing with combinations.
The number of possible combinations for selections out of items is:
So the number of possible ice cream choices in this problem is:
And the chance of choosing a chocolate+vanilla selection is .
For the toppings, the number of combinations is:
With the almond sprinkle combination having a chance of being chosen.
The chance of BOTH of these selections being made is then the product of the two probalities:
Example Question #51 : Probability
At a specialty restaurant, there are five kinds of curry and three kinds of rice. If a lunch special consists of two unique curries and a side of rice, what is the total number of possible options?
For this problem, when selecting food items, the order of selection does not matter, so we're dealing with combinations.
For choices made from possible options, the number of possible combinations is
So for the curry options, where two choices are made from five options
For the rice options, with one choice made from three:
For the lunch special, the total amount of combinations is the product of these two:
Example Question #63 : Data Analysis
A twenty-sided die is rolled three times. What is the probability of rolling a five or greater all three times?
For a twenty-sided die, there are twenty possible rolls:
Of these, sixteen satisfy the problem condition:
So the probability of rolling a five or greater is
The probability of rolling three of these rolls in a row is a type of intersection, meaning multiplication is involved: