Question
Analyze the table below and answer the question that follows.
![](data:image/png;base64,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)
The unit rate of theatre A in $ per ticket is
- $5 per 1 ticket
- 1 ticket per $5
- $15 per 1 ticket
- $4 per 1 ticket
Hint:
The unitary method is a technique for solving a problem by first finding the value of a single unit, and then finding the necessary value by multiplying the single unit value.
The correct answer is: $5 per 1 ticket
Here, the total cost of different number of tickets in 3 different cinema halls is given. We have to find the cost of per ticket in hall A.
We have,
Cost of 3 tickets = $15.
Cost of 1 ticket = 15/3 =$5.
Hence, the correct option is A.
Total cost of tickets = Number of tickets × Cost of 1 ticket.
Related Questions to study
Ali packed 140 eggs in 8 cartons. The unit rate per carton will be ____________.
In this question we divided the total no of eggs with no of cartons to obtain the no of eggs in each carton.
Unit rate per carton=17.5
Ali packed 140 eggs in 8 cartons. The unit rate per carton will be ____________.
In this question we divided the total no of eggs with no of cartons to obtain the no of eggs in each carton.
Unit rate per carton=17.5
Jackson made 128 calls in 38 days. Number of calls made by him in 19 days is ____________.
We can also find the number of calls made in 19 days by dividing the number of calls made in 38 days by 2.
Jackson made 128 calls in 38 days. Number of calls made by him in 19 days is ____________.
We can also find the number of calls made in 19 days by dividing the number of calls made in 38 days by 2.
George’s plane climbs 450 feet in 40 seconds. Jenny’s plane climbs 320 feet in 30 seconds. The unit rate per second of the fastest plane is ____________.
In this question we found unit speed of each plane per second and then compared them to obtain the largest unit speed per second.
George’s plane climbs 450 feet in 40 seconds. Jenny’s plane climbs 320 feet in 30 seconds. The unit rate per second of the fastest plane is ____________.
In this question we found unit speed of each plane per second and then compared them to obtain the largest unit speed per second.
Watson pours 36 fl.oz of grape juice equally into 9 cups. The unit rate per cup will be ________________.
Watson pours 36 fl.oz of grape juice equally into 9 cups. The unit rate per cup will be ________________.
James spent $36 to buy 4 footballs. The price of 16 such footballs is _____________.
We can find the cost of 16 footballs by multiplying the cost of 4 footballs by 4.
James spent $36 to buy 4 footballs. The price of 16 such footballs is _____________.
We can find the cost of 16 footballs by multiplying the cost of 4 footballs by 4.
The lesser unit rate per sticker among 480 stickers on 6 sheets and 120 stickers on 2 sheets is ______.
The lesser unit rate per sticker among 480 stickers on 6 sheets and 120 stickers on 2 sheets is ______.
The greater unit rate per innings among 45 strike outs in 36 innings or 96 strikeouts in 80 innings is _____________
The greater unit rate per innings among 45 strike outs in 36 innings or 96 strikeouts in 80 innings is _____________
Bill eats 3 slices of cornbread for breakfast that contains a total of 123 calories. Bob eats 4 slices of pizza that contains 148 calories. The unit rate of higher calorie food per slice is ___________.
Bill eats 3 slices of cornbread for breakfast that contains a total of 123 calories. Bob eats 4 slices of pizza that contains 148 calories. The unit rate of higher calorie food per slice is ___________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The unit rate of expensive brand is ____________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The unit rate of expensive brand is ____________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The best unit rate of purchase among all the three brands is ________________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The best unit rate of purchase among all the three brands is ________________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
Find the unit rate of Mart X in $ per short.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
Find the unit rate of Mart X in $ per short.
John reads 50 books in 6 months. Wesley reads 30 books in 4 months. The unit rate in books per month for the fastest reader is ______________.
So from question we get unit rate per books for the fastest reader is 7.5 and we found it by comparing their rate of reading for each month.
John reads 50 books in 6 months. Wesley reads 30 books in 4 months. The unit rate in books per month for the fastest reader is ______________.
So from question we get unit rate per books for the fastest reader is 7.5 and we found it by comparing their rate of reading for each month.
Sophia earns $100 for 5 hours. The unit rate in earnings per hour is ____________.
In the solution we found the unit earning that is earning per hour by dividing total earning by total time.
Sophia earning per hour= $20
Sophia earns $100 for 5 hours. The unit rate in earnings per hour is ____________.
In the solution we found the unit earning that is earning per hour by dividing total earning by total time.
Sophia earning per hour= $20
Elon read 110 books in 11 months. The unit rate in books per month is _______________.
We found the unit rate of books read per month as by dividing total books read with total time and obatined it as 10.
Elon read 110 books in 11 months. The unit rate in books per month is _______________.
We found the unit rate of books read per month as by dividing total books read with total time and obatined it as 10.
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)
The unit rate of expensive brand is ____________.
In this question first we found unit cost priice of all the t shirts and then compared them to obtain the highest unit cost price that is $30 for T Shirt C.
![](data:image/png;base64,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)
The unit rate of expensive brand is ____________.
In this question first we found unit cost priice of all the t shirts and then compared them to obtain the highest unit cost price that is $30 for T Shirt C.