All Common Core: 7th Grade Math Resources
Example Questions
Example Question #9 : Understand Probability Of A Chance Event: Ccss.Math.Content.7.Sp.C.5
Select the answer choice that has the greatest probability of occurring.
Using a standard deck of cards, drawing a Queen
Using a standard deck of cards, drawing red
Using a standard deck of cards, drawing an of spades
Using a standard deck of cards, drawing a black
Using a standard deck of cards, drawing a Queen
Probability is represented by a number between and .
Probabilities are usually written in a fraction form that expresses the likelihood of the event occurring. The greater the fraction—or number—then there is a better probability of the event occurring.
Each of our answer choices use a standard deck of cards, which has total cards.
First, let's find the probability of each event:
Drawing red : There are two red s in a standard deck; thus, the probability is:
Drawing an of spades: There is only one of spades in a standard deck; thus, the probability is:
Drawing a black : There are two black s in a standard deck; thus, the probability is:
Drawing a Queen : There are four Queens in a standard deck; thus, the probability is:
This is the greatest probability and the correct answer.
Example Question #11 : Understand Probability Of A Chance Event: Ccss.Math.Content.7.Sp.C.5
Select the answer choice that has the greatest probability of occurring.
Using a standard deck of cards, drawing a red card
Using a standard deck of cards, drawing a number card
Using a standard deck of cards, drawing a black card
Using a standard deck of cards, drawing a face card
Using a standard deck of cards, drawing a number card
Probability is represented by a number between and .
Probabilities are usually written in a fraction form that expresses the likelihood of the event occurring. The greater the fraction—or number—then there is a better probability of the event occurring.
Each of our answer choices use a standard deck of cards, which has total cards.
First, let's find the probability of each event:
Drawing a black card: Half of the cards in a standard deck are black; thus, the probability is:
Drawing a red card: Half of the cards in a standard deck are red; thus, the probability is:
Drawing a face card: There are face cards in a standard deck ( Jacks, Queens, Kings) ; thus, the probability is:
Drawing a number card : In a standard deck, the numbers are used, and each number has four suites, which equals numbered cards; thus, the probability is:
This is the greatest probability and the correct answer.
Example Question #51 : Statistics & Probability
Select the answer choice that has the lowest probability of occurring.
Using a standard deck of cards, drawing a King
Using a standard deck of cards, drawing a black King
Using a standard deck of cards, drawing a red King
Using a standard deck of cards, drawing the King of Hearts
Using a standard deck of cards, drawing the King of Hearts
Probability is represented by a number between and .
Probabilities are usually written in a fraction form that expresses the likelihood of the event occurring. The greater the fraction—or number—then there is a better probability of the event occurring.
Each of our answer choices use a standard deck of cards, which has total cards.
First, let's find the probability of each event:
Drawing a black King: There are two black Kings in a standard deck; thus, the probability is:
Drawing a red King: There are two red Kings in a standard deck; thus, the probability is:
Drawing a King: There are four Kings in a standard deck; thus, the probability is:
Drawing the King of Hearts : There is only one King of Hearts in a standard deck; thus, the probability is:
This is the least probability and the correct answer.
Example Question #1 : Approximate The Probability Of A Chance Event By Collecting Data: Ccss.Math.Content.7.Sp.C.6
If John were to roll a die times, roughly how many times would he roll a
A die has sides, with each side displaying a number between .
Let's first determine the probability of rolling a after John rolls the die a single time.
There is a total of sides on a die and only one value of on one side; thus, our probability is:
This means that roughly of John's rolls will be a ; therefore, in order to calculate the probability we can multiply by —the number of times John rolls the die.
If John rolls a die times, then he will roll a roughly times.
Example Question #2 : Approximate The Probability Of A Chance Event By Collecting Data: Ccss.Math.Content.7.Sp.C.6
If John were to roll a die times, roughly how many times would he roll a
A die has sides, with each side displaying a number between .
Let's first determine the probability of rolling a after John rolls the die a single time.
There is a total of sides on a die and only one value of on one side; thus, our probability is:
This means that roughly of John's rolls will be a ; therefore, in order to calculate the probability we can multiply by —the number of times John rolls the die.
If John rolls a die times, then he will roll a roughly times.
Example Question #3 : Approximate The Probability Of A Chance Event By Collecting Data: Ccss.Math.Content.7.Sp.C.6
If John were to roll a die times, roughly how many times would he roll a or a
A die has sides, with each side displaying a number between .
Let's first determine the probability of rolling a or a after John rolls the die a single time.
There is a total of sides on a die and we have one value of and one value of ; thus, our probability is:
This means that roughly of John's rolls will be a or a ; therefore, in order to calculate the probability we can multiply by —the number of times John rolls the die.
If John rolls a die times, then he will roll a or a roughly times.
Example Question #4 : Approximate The Probability Of A Chance Event By Collecting Data: Ccss.Math.Content.7.Sp.C.6
If John were to roll a die times, roughly how many times would he roll a or a
A die has sides, with each side displaying a number between .
Let's first determine the probability of rolling a or a after John rolls the die a single time.
There is a total of sides on a die and we have one value of and one value of ; thus, our probability is:
This means that roughly of John's rolls will be a or a ; therefore, in order to calculate the probability we can multiply by —the number of times John rolls the die.
If John rolls a die times, then he will roll a or a roughly times.
Example Question #5 : Approximate The Probability Of A Chance Event By Collecting Data: Ccss.Math.Content.7.Sp.C.6
If John were to roll a die times, roughly how many times would he roll an even number?
A die has sides, with each side displaying a number between .
Let's first determine the probability of rolling an even number after John rolls the die a single time.
There is a total of sides on a die and even numbers: ; thus, our probability is:
This means that roughly of John's rolls will be an even number; therefore, in order to calculate the probability we can multiply by —the number of times John rolls the die.
If John rolls a die times, then he will roll an even number roughly times.
Example Question #6 : Approximate The Probability Of A Chance Event By Collecting Data: Ccss.Math.Content.7.Sp.C.6
If John were to roll a die times, roughly how many times would he roll an odd number?
A die has sides, with each side displaying a number between .
Let's first determine the probability of rolling an odd number after John rolls the die a single time.
There is a total of sides on a die and odd numbers: ; thus, our probability is:
This means that roughly of John's rolls will be an odd number; therefore, in order to calculate the probability we can multiply by —the number of times John rolls the die.
If John rolls a die times, then he will roll an odd number roughly times.
Example Question #2 : Approximate The Probability Of A Chance Event By Collecting Data: Ccss.Math.Content.7.Sp.C.6
If John were to roll a die times, roughly how many times would he roll a , a , or a
A die has sides, with each side displaying a number between .
Let's first determine the probability of rolling a , a , or a after John rolls the die a single time.
There is a total of sides on a die and we have one value of , one value of and one value of ; thus, our probability is:
This means that roughly of John's rolls will be a , , or a ; therefore, in order to calculate the probability we can multiply by —the number of times John rolls the die.
If John rolls a die times, then he will roll a , , or a roughly times.