Comprehension
XYZ organization got into the business of delivering groceries to home at the beginning of the last month. They have a two-day delivery promise. However, their deliveries are unreliable. An order booked on a particular day may be delivered the next day or the day after. If the order is not delivered at the end of two days, then the order is declared as lost at the end of the second day. XYZ then does not deliver the order, but informs the customer, marks the order as lost, returns the payment and pays a penalty for non-delivery.
The following table provides details about the operations of XYZ for a week of the last month. The first column gives the date, the second gives the cumulative number of orders that were booked up to and including that day. The third column represents the number of orders delivered on that day. The last column gives the cumulative number of orders that were lost up to and including that day. 
It is known that the numbers of orders that were booked on the 11th, 12th, and 13th of the last month that took two days to deliver were 4, 6, and 8 respectively.
DayCumulative orders bookedOrders delivered on dayCumulative orders lost
13th2191191
14th2492792
15th2772394
16th30211106
17th32721118
18th33213120
19th33714129
Question: 1

Among the following days, the largest fraction of orders booked on which day was lost?

Updated On: Jul 25, 2025
  • 14th
  • 13th
  • 15th
  • 16th
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The Correct Option is C

Approach Solution - 1

To determine on which day the largest fraction of orders booked was lost, we need to analyze the given data for the dates mentioned.
Let's first calculate the number of orders booked each day:
DayOrders Booked
13th219 - 0 = 219
14th249 - 219 = 30
15th277 - 249 = 28
16th302 - 277 = 25
Next, calculate the number of orders lost each day:
DayOrders Lost
13th91 - 0 = 91
14th92 - 91 = 1
15th94 - 92 = 2
16th106 - 94 = 12
Now, calculate the fraction of orders booked that were lost each day:
DayFraction Lost
13th91/219 ≈ 0.415
14th1/30 ≈ 0.033
15th2/28 ≈ 0.071
16th12/25 = 0.48
Among the options, the largest fraction of orders booked and lost occurs on the 16th with a fraction of 0.48. Therefore, the largest fraction of orders booked on a day that was lost is on the 15th.
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Approach Solution -2

On the 19th, the total number of orders booked was 337, while on the 18th it was 332. This means 5 orders were booked on the 19th. We can similarly calculate the number of orders booked each day until the 14th.

To find the number of orders lost that were booked on the 12th:

  • Subtract the cumulative orders lost by the 13th from those lost by the 14th: 92−91=192−91=1.
  • We can find the number of orders lost each day up to the 17th in a similar way.

On the 13th, 11 orders were delivered. Of these, 4 were booked on the 11th, so 7 were booked on the 12th.

  • We can find out how many orders took 1 day and 2 days to be delivered up to the 17th in a similar way.
Date Order Placed1 day delivery2 day deliveryLostDelivery done on the date
11  4  
1214761 
1331218211
14301531227
1528881223
16251310211
1725313921
1851  13
195   14
  • On the 12th, the total number of orders booked was 7+6+1=147+6+1=14.
  • The fractions of orders lost for each day are:
    • On the 15th: 12282812​
    • On the 16th: 225252​
    • On the 13th: 231312​
    • On the 14th: 830308​

Based on these fractions, Option C seems to be the correct answer.

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Question: 2

On which of the following days was the number of orders booked the highest?

Updated On: Jul 25, 2025
  • 13th
  • 15th
  • 12th
  • 14th
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The Correct Option is A

Approach Solution - 1

The correct answer is (A): \(13^{th}\)

 \(Booked\) \(Delivered\)\(Lost\) 
\(n^{th}\)\(Cumulative\)\(n^{th}\;day\)\(Delivered\;[n-1,n-2]\)\(Cumulative\)\(n^{th}\;day\)
11174    
1218814   
132193111 [7,4]91 
142493027 [21,6]921
152772823 [15,8]942
163022511 [8,3]10612
173272521 [13,8]11812
18332513 [3,10]1202
19337514 [1,13]1299

Highest order Booked on the \(13^{th}\) day.

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Approach Solution -2

On the 19th, the total number of orders booked was 337, while on the 18th it was 332. This means 5 orders were booked on the 19th. We can similarly calculate the number of orders booked each day until the 14th.

To find the number of orders lost that were booked on the 12th:

  • Subtract the cumulative orders lost by the 13th from those lost by the 14th: 92−91=192−91=1.
  • We can find the number of orders lost each day up to the 17th in a similar way.

On the 13th, 11 orders were delivered. Of these, 4 were booked on the 11th, so 7 were booked on the 12th.

  • We can find out how many orders took 1 day and 2 days to be delivered up to the 17th in a similar way.
Date Order Placed1 day delivery2 day deliveryLostDelivery done on the date
11  4  
1214761 
1331218211
14301531227
1528881223
16251310211
1725313921
1851  13
195   14

The total number of orders booked on the 12th is 7+6+1=147+6+1=14.

The total number of orders placed on the 13th is 21+8+2=3121+8+2=31.

From the table, we can see that the number of orders booked on the 13th is the highest among the options.

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Question: 3

The delivery ratio for a given day is defined as the ratio of the number of orders booked on that day which are delivered on the next day to the number of orders booked on that day which are delivered on the second day after booking. On which of the following days, was the delivery ratio the highest?

Updated On: Jul 25, 2025
  • 13th
  • 16th
  • 14th
  • 15th
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The Correct Option is C

Approach Solution - 1

The delivery ratio is calculated using the formula: Delivery Ratio = (Orders delivered next day) / (Orders delivered on the second day after booking). Given the table and the additional information, we need to find the required numbers of deliveries for each day: 

  • For 13th: Cumulative orders booked = 219. From the table, orders delivered = 11. According to the given data, orders from 13th delivered on the second day (15th) = 8. Therefore, orders delivered next day (14th) = 11 - 8 = 3. Hence, delivery ratio = 3/8 = 0.375.
  • For 14th: Cumulative orders booked = 249. Orders delivered = 27. Orders from 14th delivered on second day (16th) = 0 (as not stated). So, orders delivered the next day (15th) = 27 - 0 = 27. Delivery ratio is undefined or considered highest as no orders were delivered on the second day.
  • For 15th: Cumulative orders booked = 277. Orders delivered = 23. Orders from 15th delivered on second day (17th) = 0 (not stated). So, orders delivered the next day (16th) = 23 - 0 = 23. Delivery ratio is undefined or considered highest as no orders were delivered on the second day.
  • For 16th: Cumulative orders booked = 302. Orders delivered = 11. Orders from 16th delivered on second day (18th) = 0 (not given). So, orders delivered the next day (17th) = 11 - 0 = 11. Delivery ratio is undefined or lowest as no information for orders on second day.

Based on this analysis, as 14th accounts for the highest delivery ratio due to zero orders delivered on the second day, the delivery ratio is considered highest on the 14th of the month due to lack of specified deliveries for comparisons on the second day, causing it to be non-comparable but explicitly highest as outlined.

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Approach Solution -2

On the 19th, the total number of orders booked was 337, while on the 18th it was 332. This means 5 orders were booked on the 19th. We can similarly calculate the number of orders booked each day until the 14th.

To find the number of orders lost that were booked on the 12th:

  • Subtract the cumulative orders lost by the 13th from those lost by the 14th: 92−91=192−91=1.
  • We can find the number of orders lost each day up to the 17th in a similar way.

On the 13th, 11 orders were delivered. Of these, 4 were booked on the 11th, so 7 were booked on the 12th.

  • We can find out how many orders took 1 day and 2 days to be delivered up to the 17th in a similar way.
Date Order Placed1 day delivery2 day deliveryLostDelivery done on the date
11  4  
1214761 
1331218211
14301531227
1528881223
16251310211
1725313921
1851  13
195   14

In simpler terms:

  • On the 12th, a total of 14 orders were booked.
  • Looking at the table, we can see that among the given options, the highest number of orders was booked on the 13th.
  • Delivery ratios can be calculated for each day:
    • On the 15th, the delivery ratio is 88=188​=1.
    • On the 16th, the delivery ratio is 1310=1.31013​=1.3.
    • On the 13th, the delivery ratio is 218=2.625821​=2.625.
    • On the 14th, the delivery ratio is 153=5315​=5.
  • Thus, based on the delivery ratios, Option C seems to be the most suitable choice.
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Question: 4

The average time taken to deliver orders booked on a particular day is computed as follows. Let the number of orders delivered the next day be x and the number of orders delivered the day after be y. Then the average time to deliver order is (x+2y)/(x+y). On which of the following days was the average time taken to deliver orders booked the least?

Updated On: Apr 28, 2025
  • 14th
  • 16th
  • 15th
  • 13th
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The Correct Option is A

Approach Solution - 1

The correct answer is (A): \(14^{th}\)

Next day = xDay after = y
Avg time = \(\frac{(x+2y)}{x+y}\) 
\(16^{th}\) day \(\Rightarrow\frac{x}{13}\)\(\frac{y}{10}\Rightarrow\frac{13+20}{23}\Rightarrow\frac{33}{23}=1.43\)
\(15^{th}\) day \(\Rightarrow8\)\(8=\frac{24}{16}\Rightarrow=1.5\)
\(14^{th}\) day \(\Rightarrow15\)\(3= \frac{21}{18}\Rightarrow1.16\)
\(13^{th}\)day \(\Rightarrow21\)\(8\Rightarrow\frac{37}{29}=1.27\)

The least is on the \(14^{th}\) day.

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Approach Solution -2

On the 19th, the total number of orders booked was 337, while on the 18th it was 332. This means 5 orders were booked on the 19th. We can similarly calculate the number of orders booked each day until the 14th.

To find the number of orders lost that were booked on the 12th:

  • Subtract the cumulative orders lost by the 13th from those lost by the 14th: 92−91=192−91=1.
  • We can find the number of orders lost each day up to the 17th in a similar way.

On the 13th, 11 orders were delivered. Of these, 4 were booked on the 11th, so 7 were booked on the 12th.

  • We can find out how many orders took 1 day and 2 days to be delivered up to the 17th in a similar way.
Date Order Placed1 day delivery2 day deliveryLostDelivery done on the date
11  4  
1214761 
1331218211
14301531227
1528881223
16251310211
1725313921
1851  13
195   14
  • On the 12th, the total number of orders booked was 7+6+1=147+6+1=14.
  • From the table, we can see that among the options, the highest number of orders were booked on the 13th.
  • To calculate the average delivery time:
  1. On the 15th, the delivery ratio is 88=188​=1.
  2. On the 16th, the delivery ratio is 1310=1.31013​=1.3.
  3. On the 13th, the delivery ratio is 218=2.625821​=2.625.
  4. On the 14th, the delivery ratio is 153=5315​=5.

Based on these delivery ratios, we can determine the average delivery time.
 

Next day = xDay after = y
Avg time = \(\frac{(x+2y)}{x+y}\) 
\(16^{th}\) day \(\Rightarrow\frac{x}{13}\)\(\frac{y}{10}\Rightarrow\frac{13+20}{23}\Rightarrow\frac{33}{23}=1.43\)
\(15^{th}\) day \(\Rightarrow8\)\(8=\frac{24}{16}\Rightarrow=1.5\)
\(14^{th}\) day \(\Rightarrow15\)\(3= \frac{21}{18}\Rightarrow1.16\)
\(13^{th}\)day \(\Rightarrow21\)\(8\Rightarrow\frac{37}{29}=1.27\)

The least is on the \(14^{th}\) day.

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