Day | Cumulative orders booked | Orders delivered on day | Cumulative orders lost |
---|---|---|---|
13th | 219 | 11 | 91 |
14th | 249 | 27 | 92 |
15th | 277 | 23 | 94 |
16th | 302 | 11 | 106 |
17th | 327 | 21 | 118 |
18th | 332 | 13 | 120 |
19th | 337 | 14 | 129 |
Day | Orders Booked |
---|---|
13th | 219 - 0 = 219 |
14th | 249 - 219 = 30 |
15th | 277 - 249 = 28 |
16th | 302 - 277 = 25 |
Day | Orders Lost |
---|---|
13th | 91 - 0 = 91 |
14th | 92 - 91 = 1 |
15th | 94 - 92 = 2 |
16th | 106 - 94 = 12 |
Day | Fraction Lost |
---|---|
13th | 91/219 ≈ 0.415 |
14th | 1/30 ≈ 0.033 |
15th | 2/28 ≈ 0.071 |
16th | 12/25 = 0.48 |
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:
On the 13th, 11 orders were delivered. Of these, 4 were booked on the 11th, so 7 were booked on the 12th.
Date | Order Placed | 1 day delivery | 2 day delivery | Lost | Delivery done on the date |
11 | 4 | ||||
12 | 14 | 7 | 6 | 1 | |
13 | 31 | 21 | 8 | 2 | 11 |
14 | 30 | 15 | 3 | 12 | 27 |
15 | 28 | 8 | 8 | 12 | 23 |
16 | 25 | 13 | 10 | 2 | 11 |
17 | 25 | 3 | 13 | 9 | 21 |
18 | 5 | 1 | 13 | ||
19 | 5 | 14 |
Based on these fractions, Option C seems to be the correct answer.
The correct answer is (A): \(13^{th}\)
\(Booked\) | \(Delivered\) | \(Lost\) | |||
---|---|---|---|---|---|
\(n^{th}\) | \(Cumulative\) | \(n^{th}\;day\) | \(Delivered\;[n-1,n-2]\) | \(Cumulative\) | \(n^{th}\;day\) |
11 | 174 | ||||
12 | 188 | 14 | |||
13 | 219 | 31 | 11 [7,4] | 91 | |
14 | 249 | 30 | 27 [21,6] | 92 | 1 |
15 | 277 | 28 | 23 [15,8] | 94 | 2 |
16 | 302 | 25 | 11 [8,3] | 106 | 12 |
17 | 327 | 25 | 21 [13,8] | 118 | 12 |
18 | 332 | 5 | 13 [3,10] | 120 | 2 |
19 | 337 | 5 | 14 [1,13] | 129 | 9 |
Highest order Booked on the \(13^{th}\) day.
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:
On the 13th, 11 orders were delivered. Of these, 4 were booked on the 11th, so 7 were booked on the 12th.
Date | Order Placed | 1 day delivery | 2 day delivery | Lost | Delivery done on the date |
11 | 4 | ||||
12 | 14 | 7 | 6 | 1 | |
13 | 31 | 21 | 8 | 2 | 11 |
14 | 30 | 15 | 3 | 12 | 27 |
15 | 28 | 8 | 8 | 12 | 23 |
16 | 25 | 13 | 10 | 2 | 11 |
17 | 25 | 3 | 13 | 9 | 21 |
18 | 5 | 1 | 13 | ||
19 | 5 | 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.
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:
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.
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:
On the 13th, 11 orders were delivered. Of these, 4 were booked on the 11th, so 7 were booked on the 12th.
Date | Order Placed | 1 day delivery | 2 day delivery | Lost | Delivery done on the date |
11 | 4 | ||||
12 | 14 | 7 | 6 | 1 | |
13 | 31 | 21 | 8 | 2 | 11 |
14 | 30 | 15 | 3 | 12 | 27 |
15 | 28 | 8 | 8 | 12 | 23 |
16 | 25 | 13 | 10 | 2 | 11 |
17 | 25 | 3 | 13 | 9 | 21 |
18 | 5 | 1 | 13 | ||
19 | 5 | 14 |
In simpler terms:
The correct answer is (A): \(14^{th}\)
Next day = x | Day 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.
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:
On the 13th, 11 orders were delivered. Of these, 4 were booked on the 11th, so 7 were booked on the 12th.
Date | Order Placed | 1 day delivery | 2 day delivery | Lost | Delivery done on the date |
11 | 4 | ||||
12 | 14 | 7 | 6 | 1 | |
13 | 31 | 21 | 8 | 2 | 11 |
14 | 30 | 15 | 3 | 12 | 27 |
15 | 28 | 8 | 8 | 12 | 23 |
16 | 25 | 13 | 10 | 2 | 11 |
17 | 25 | 3 | 13 | 9 | 21 |
18 | 5 | 1 | 13 | ||
19 | 5 | 14 |
Based on these delivery ratios, we can determine the average delivery time.
Next day = x | Day 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.
A | B | C | D | Average |
---|---|---|---|---|
3 | 4 | 4 | ? | 4 |
3 | ? | 5 | ? | 4 |
? | 3 | 3 | ? | 4 |
? | ? | ? | ? | 4.25 |
4 | 4 | 4 | 4.25 |