Common Core: 7th Grade Math : Grade 7

Study concepts, example questions & explanations for Common Core: 7th Grade Math

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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. 

 

Possible Answers:

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  

Correct answer:

Using a standard deck of cards, drawing a Queen

Explanation:

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. 

 

Possible Answers:

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

Correct answer:

Using a standard deck of cards, drawing a number card

Explanation:

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. 

Possible Answers:

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 

Correct answer:

Using a standard deck of cards, drawing the King of Hearts 

Explanation:

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 

Possible Answers:

Correct answer:

Explanation:

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 

 

Possible Answers:

Correct answer:

Explanation:

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 

 

 

Possible Answers:

Correct answer:

Explanation:

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 

 

Possible Answers:

Correct answer:

Explanation:

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?

 

Possible Answers:

Correct answer:

Explanation:

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?

 

Possible Answers:

Correct answer:

Explanation:

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 

 

Possible Answers:

Correct answer:

Explanation:

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. 

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