Question
Lilly bought 24 tennis balls packed equally in 8 sets. Determine the number of tennis balls in 10 such sets.
- 50
- 40
- 30
- 60
Hint:
In this question first, we found how many balls were packed in each pack and then multiplied by 10 to get no of balls packed in 10 packets.
The correct answer is: 30
Step 1 of 1:
In this question, we were given how many balls Lily packed in 8 sets and also asked to find the no of balls to be packed in 10 sets.
No of the balls packed is 24 in 8 packets.
No of balls in each packet=24/8=3
No of balls packed in 10 packets=3*10=30
Final Answer:
The right choice is-- c. 30
Related Questions to study
Bill eats 3 slices of cornbread for breakfast that contain a total of 123 calories. 4 slices of cornbread contains _______________ calories.
Bill eats 3 slices of cornbread for breakfast that contain a total of 123 calories. 4 slices of cornbread contains _______________ calories.
Analyze the table below and answer the questions that follow.
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text.](data:image/png;base64,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)
Find the unit rate of store C in shirt per $.
Analyze the table below and answer the questions that follow.
![Error converting from MathML to accessible text.](data:image/png;base64,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)
Find the unit rate of store C in shirt per $.
Analyze the table below and answer the questions that follow.
![Error converting from MathML to accessible text.](data:image/png;base64,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)
Find the unit rate of store B in shirt per $.
Analyze the table below and answer the questions that follow.
![Error converting from MathML to accessible text.](data:image/png;base64,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)
Find the unit rate of store B in shirt per $.
Analyze the table below and answer the questions that follow.
![Error converting from MathML to accessible text.](data:image/png;base64,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)
Find the unit rate of store A in $ per shirt.
Analyze the table below and answer the questions that follow.
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)
Find the unit rate of store A in $ per shirt.
John reads 50 books in 6 months. At the same rate, number of books he will read in a year is ______________.
We can find the number of books read in 1 year by multiplying the number of books read in 6 months by 2.
John reads 50 books in 6 months. At the same rate, number of books he will read in a year is ______________.
We can find the number of books read in 1 year by multiplying the number of books read in 6 months by 2.
Sophia earns $100 for 5 hours. At this rate, money earned in 15 hours is _________________.
We can also find the total amount earned in 15 hours by multiplying the amount earned in 5 hours by 3.
Sophia earns $100 for 5 hours. At this rate, money earned in 15 hours is _________________.
We can also find the total amount earned in 15 hours by multiplying the amount earned in 5 hours by 3.
If the temperature dropped in 3 days is 27 degrees. Temperature dropped in a day is __________.
Temperature drop per day multiplied by number of days gives the total temperature drop.
If the temperature dropped in 3 days is 27 degrees. Temperature dropped in a day is __________.
Temperature drop per day multiplied by number of days gives the total temperature drop.
Rob can prepare 15 tacos in 5 minutes. At the same rate, 180 tacos can be prepared in _______ minutes.
We can just multiply the time taken to make 15 tacos by 12 to get the time taken to make 180 tacos.
Rob can prepare 15 tacos in 5 minutes. At the same rate, 180 tacos can be prepared in _______ minutes.
We can just multiply the time taken to make 15 tacos by 12 to get the time taken to make 180 tacos.
Bret climbed 100 steps in 50 seconds. Steps climbed in 12 seconds is __________.
Number of steps climbed in 1 second multiplied by number of seconds gives the total number of steps climbed in that number of seconds.
Bret climbed 100 steps in 50 seconds. Steps climbed in 12 seconds is __________.
Number of steps climbed in 1 second multiplied by number of seconds gives the total number of steps climbed in that number of seconds.
In a competition Bryan completed 105 sit-ups in 3 minutes. Lara completed 80 sit ups in 2 minutes. The unit rate per minute of the winner is _____________.
In the question it is clear that Bryaan is the winner and his unit rate is 35 sit ups per minute.
In a competition Bryan completed 105 sit-ups in 3 minutes. Lara completed 80 sit ups in 2 minutes. The unit rate per minute of the winner is _____________.
In the question it is clear that Bryaan is the winner and his unit rate is 35 sit ups per minute.
John is an avid reader. He devours 90 pages in half an hour. He can read ________ pages in 5 minutes.
We can find the number of pages read in 5 minutes by simply dividing the number of pages read in 30 minutes by 6.
John is an avid reader. He devours 90 pages in half an hour. He can read ________ pages in 5 minutes.
We can find the number of pages read in 5 minutes by simply dividing the number of pages read in 30 minutes by 6.
Joe’s knitwear sold a total of 54 scarves over 6 days equally. The unit rate per day is __________.
In the solution we divided total no of scarves with no of days to obtain the unit rate per day i.e; 9
Joe’s knitwear sold a total of 54 scarves over 6 days equally. The unit rate per day is __________.
In the solution we divided total no of scarves with no of days to obtain the unit rate per day i.e; 9
Harvest market sells a crate of 15 pounds of Florida apples for $12. Mart sells a crate of 18 pounds of apples for $14. The unit rate per apples of the best buy is _____________.
We found unit cost price of both apples and then compared them to obtain the best buy.
Harvest market sells a crate of 15 pounds of Florida apples for $12. Mart sells a crate of 18 pounds of apples for $14. The unit rate per apples of the best buy is _____________.
We found unit cost price of both apples and then compared them to obtain the best buy.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The lesser unit rate among the three brands is ____________
We found unit price of hamburgers inn all brands and then compared them to obtain the lesser unit price.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The lesser unit rate among the three brands is ____________
We found unit price of hamburgers inn all brands and then compared them to obtain the lesser unit price.
Jessica bakes 112 muffins in 7 batches. Muffins baked in 3 batches is ____________.
Number of muffins made in 1 batch multiplied by any number gives the number of muffins made in that number of batches.
Jessica bakes 112 muffins in 7 batches. Muffins baked in 3 batches is ____________.
Number of muffins made in 1 batch multiplied by any number gives the number of muffins made in that number of batches.