Day 1: Let the number of buyers on Day 1 be \( x \).
The total rating on Day 1 = \( 3x \) (since the average rating is 3).
Day 2: From the graph, we can see:
- 10 buyers gave a rating of 1
- 5 buyers gave a rating of 2
- 15 buyers gave a rating of 3
- 20 buyers gave a rating of 4
- 25 buyers gave a rating of 5
Total buyers on Day 2 = \( 10 + 5 + 15 + 20 + 25 = 75 \)
Total rating on Day 2 = \( (10 \cdot 1) + (5 \cdot 2) + (15 \cdot 3) + (20 \cdot 4) + (25 \cdot 5) = 270 \)
Cumulative Average:
Cumulative average after Day 2 = \[ \frac{3x + 270}{x + 75} = 3.1 \]
Solving this equation:
\[ 3.1(x + 75) = 3x + 270 \\ 3.1x + 232.5 = 3x + 270 \\ 0.1x = 37.5 \Rightarrow x = 375 \]
Correct value: \( x = 375 \)
Therefore, the number of buyers who gave ratings on Day 1 is 375.
What is the median of all ratings given on Day 3?
Day 3 Ratings:
Let the number of buyers giving ratings of 1 and 2 be \(x\). Then, the number of buyers giving a rating of 3 is \(2x\). The remaining buyers \((100 - 3x)\) must have given ratings of 4 and 5, with equal numbers of each (since 4 and 5 are the modes).
So, the distribution of ratings on Day 3 is:
1: \(x\), 2: \(x\), 3: \(2x\), 4: \(\frac{100 - 3x}{2}\), 5: \(\frac{100 - 3x}{2}\)
To find the median, we need to find the middle value when the ratings are arranged in ascending order.
Since there are 100 ratings, the median will be the average of the 50th and 51st ratings.
The first \(3x\) ratings are 1, 2, and 3. The next \(\frac{100 - 3x}{2}\) ratings are 4.
So, the 50th and 51st ratings will be 4.
Therefore, the median of all ratings given on Day 3 is 4.
Day 2: Total buyers: 75 Total rating: 270 Cumulative average: 3.1
Day 3: Total buyers: 100 Total rating: (From previous calculations, this is 450)
Cumulative average: \(\frac {(270 + 450)}{(75 + 100)}= 4\)
Percentage increase: \(\frac {(4 - 3.1)}{3.1} \times100 = 29.03 \%\)
Therefore, the cumulative average of Day 3 increased by more than 8 percent from Day 2.