Solution
According to the chart, we can make the following table to show the distribution of ratings on day 2.
| Ratings | Number of Buyers |
|---|---|
| 1 | 5 |
| 2 | 10 |
| 3 | 5 |
| 4 | 20 |
| 5 | 10 |
From here we get the total number of buyers on day 2 was 50.
Average on day 2 =
Therefore, we can make the following table:
| Day | Number of Buyers | Daily Average | Cumulative Average |
|---|---|---|---|
| 1 | 3 | 3 | |
| 2 | 50 | 3.4 | 3.1 |
| 3 |
| Day | Number of Buyers | Daily Average | Cumulative Average |
|---|---|---|---|
| 1 | 150 | 3 | 3 |
| 2 | 50 | 3.4 | 3.1 |
| 3 |
Day - 1
From the information given in the question, we know that cumulative averages on day 1 and day 2 were 3 and 3.1 respectively.
Let the number of buyers in day 1 = .
Solving: ;
;
;
.
Therefore, the number of buyers in day 1 = 150.
Day - 3
| Ratings | Number of Buyers |
|---|---|
| 1 | A |
| 2 | A |
| 3 | 2A |
| 4 | B (Mode) |
| 5 | B (Mode) |
As per statement 1: Total number of buyers in day 3 = 100.
Also using statements 2, 3, and 4:
The numbers of buyers giving each product rating are non-zero multiples of 10.
Number of buyers giving rating 1 = Number of buyers giving rating 2 = Half of number of buyers giving rating 3.
The modes of the product ratings were 4 and 5.
Adding all of them we get:
Sum of the number of buyers = .
The only possible solution for the equation with B value being the mode is and .
Average on day 3:
Cumulative average:
| Day | Number of Buyers | Daily Average | Cumulative Average |
|---|---|---|---|
| 1 | 150 | 3 | 3 |
| 2 | 50 | 3.4 | 3.1 |
| 3 | 100 | 3.6 | 3.266 |
We get the above final table.
| DAY | NUMBER OF BUYERS | DAILY AVERAGE | CUMULATIVE AVERAGE |
|---|---|---|---|
| 1 | 150 | 3 | 3 |
| 2 | 50 | 3.4 | 3.1 |
| 3 | 100 | 3.6 | 3.266 |
To find the median of all ratings
we know No of 1s’= 10
No of 2’s= 10
No of 3’s= 20
No of 4’s= 30
No of 5’s= 30.
Therefore, the median will be average of 50th and 51st term which is (4+4)/2 = 4.