Day 1: Let \( x \) be the number of buyers on Day 1. The total rating on Day 1 is \( 3x \) (average rating is 3).
Day 2: The graph shows:
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:
The cumulative average after Day 2 is \[ \frac{3x + 270}{x + 75} = 3.1 \]
Solving the equation:
\[ 3.1(x + 75) = 3x + 270 \\ 3.1x + 232.5 = 3x + 270 \\ 0.1x = 37.5 \Rightarrow x = 375 \]
Correct value: \( x = 375 \)
Thus, 375 buyers gave ratings on Day 1.
What is the median of all ratings given on Day 3?
Day 3 Ratings:Nbsp;
Let \(x\) be the number of buyers who gave ratings of 1 and 2. Then, \(2x\) buyers gave a rating of 3. The remaining buyers, \((100 - 3x)\), gave ratings of 4 and 5. Since 4 and 5 are the modes (most frequent ratings), there must be an equal number of buyers for each.
Thus, the rating distribution on Day 3 is as follows:
1: \(x\), 2: \(x\), 3: \(2x\), 4: \(\frac{100 - 3x}{2}\), 5: \(\frac{100 - 3x}{2}\)
To determine the median, we find the middle value in the ordered list of ratings. With 100 ratings, the median is the average of the 50th and 51st ratings.
The first \(3x\) ratings consist of 1s, 2s, and 3s. The ratings following these are 4s, and there are \(\frac{100 - 3x}{2}\) such ratings.
Therefore, both the 50th and 51st ratings will be 4.
Consequently, the median of all ratings on Day 3 is 4.
Day 2: Total buyers: 75. Total rating: 270. Cumulative average: 3.1.
Day 3: Total buyers: 100. Total rating: 450.
Cumulative average: \(\frac {(270 + 450)}{(75 + 100)}= 4\)
Percentage increase:Nbsp;\(\frac {(4 - 3.1)}{3.1} \times100 = 29.03 \%\)
The cumulative average on Day 3 increased by over 8 percent compared to Day 2.