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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


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

Solution

✅ Correct Option: 3
Slide 1/9

Understanding the set :-

  1. This set provides information about a delivery company that offers a 2-day delivery promise.
  1. If an item is not delivered within 2 days, it is declared as "lost". In such cases, the payment is refunded along with a penalty.
  1. In this set it is very important to understand that cumulative or total will be the total orders until that day.

[For eg - if order on day 1 - 2 ;day 2 - 4; day 3 - 3; day 4 - 5

=> cumulative on day 4 will be 2 + 4 + 3 + 5 = 14

similarly, cumulative on day 3 = 2 + 4 + 3 = 9

Therefore, to find orders on day 4 we can directly subtract cumulative of day 4 from day 3 = 14 - 9 = 5 ]

3)This is a Table + Data Interpretation (DI) set.

In this set, we need to determine the number of orders booked each day starting from the 11th, and also identify the number of items that were:

-Delivered the next day

-Delivered after two days

-Or lost

This is a very common type of set where you're given cumulative data and are required to calculate definite values from it.

Therefore, this set serves as a valuable learning opportunity.

DateOrder Placed1-day Delivery2-day DeliveryLostDelivery Done on the Date
114
126
13811
1427
1523
1611
1721
1813
1914

We know, 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.

Also we know, orders delivered on date.

DateOrder Placed1-day Delivery2-day DeliveryLostDelivery Done on the Date
114
126
13811
143027
152823
162511
172521
18513
19514

The cumulative or total orders booked till 19th are 337

and that of 18th are 332

=> No. orders booked on 19th are 5.

Similarly, orders on day 18th = 332−327=5332 - 327 = 5

on day 17 = 327−302=25327 - 302 = 25

on day 16 = 302−277=25 302 - 277 = 25

on day 15 = 277−249=28277 - 249 = 28

on day 14 = 249−219=30249 - 219 = 30

DateOrder Placed1-day Delivery2-day DeliveryLostDelivery Done on the Date
114
1261
138211
14301227
15281223
1625211
1725921
18513
19514

Now number of orders lost -

Number of orders lost that were booked on 12th = Cumulative orders lost till 14th-Cumulative orders lost till 13th = 92−91=192-91=1

Similairly for 13th - 92−94=292 -94 = 2

For 14th = 106−94=12106 - 94 = 12

For 15th = 118−106=12 118 - 106 = 12

For 16th = 120−118=2120 - 118 = 2

For 17th = 129−120=9 129 - 120 = 9

DateOrder Placed1-day Delivery2-day DeliveryLostDelivery Done on the Date
114
12761
13218211
1430151227
15281223
1625211
1725921
18513
19514

Now, Order till date of 13th = order booked on 12th and delivered next day + order booked on 11th and delivered after two days.

=> 11 = orders booked on 12th and delivered next day + 4

=> orders booked on 12th and delivered next day = 11−4=711 - 4 = 7

Similairly, orders booked on 13th = 27−6=2127 - 6 =21

orders booked on 14th = 23−8=1523- 8 = 15

DateOrder Placed1-day Delivery2-day DeliveryLostDelivery Done on the Date
114
12761
13218211
14301531227
152881223
1625211
1725921
18513
19514

Now, total orders = 1 day delivery + 2 day delivery + lost

=> on 14th

total orders = 30

1 day delivery = 15

lost = 12

=> 2 day delivery = 30−15−12=330-15-12 = 3

Therefore, Order till date of 15th = order booked on 14th and delivered next day + order booked on 13th and delivered after two days.

=> order booked on 14th and delivered next day = 23−15=823 - 15 = 8

DateOrder Placed1-day Delivery2-day DeliveryLostDelivery Done on the Date
114
12761
13218211
14301531227
1528881223
16251310211
1725313921
185113
19514

Doing the same for 15th :

2 day delivery = 28−8−12=828 -8 - 12 = 8

=> one day delivery on 16th = 21−8=1321 - 8 = 13

=> two day delivery on 16th = 25−13−2=1025 - 13- 2 =10

=> One day delivery on 17th = 13−10=313 - 10 = 3

=> Two day delivery on 17th = 25−3−9=1325 - 3-9 = 13

=> one day delivery on 18th = 14−13=114-13 = 1

DateOrder Placed1-day Delivery2-day DeliveryLostDelivery Done on the Date
114
1214761
1331218211
14301531227
1528881223
16251310211
1725313921
185113
19514

From this we can say that,

total orders on 12th = 7+6+1=147+6+1 =14

and total orders on 13th = 21+8+2=31 21+8+2 = 31

DateOrder Placed1-day Delivery2-day DeliveryLostDelivery Done on the Date
114
1214761
1331218211
14301531227
1528881223
16251310211
1725313921
185113
19514

Orders lost as a fraction of orders booked was maximum on 15th day which is equal to 12/28.

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