This problem involves finding the mean of a combined distribution formed from several smaller groups (components). Each group has a specific frequency (number of items) and its own mean. To find the overall mean of all components combined, we use a weighted average approach, where the frequencies act as weights.
The formula for the mean of a combined distribution is:
\(\bar{X} = \frac{\sum_{i=1}^{k} (n_i \bar{x}_i)}{\sum_{i=1}^{k} n_i}\)
Where:
Let's list the information given for each component:
| Component | Frequency (\(n_i\)) | Mean (\(\bar{x}_i\)) |
|---|---|---|
| 1 | 45 | 2 |
| 2 | 40 | 2.5 |
| 3 | 55 | 2 |
Sum the frequencies of all components:
\(N = n_1 + n_2 + n_3\)
\(N = 45 + 40 + 55\)
\(N = 140\)
Multiply the frequency by the mean for each component:
Add the results from step 2:
\(\sum (n_i \bar{x}_i) = 90 + 100 + 110\)
\(\sum (n_i \bar{x}_i) = 300\)
Apply the combined mean formula using the results from steps 1 and 3:
\(\bar{X} = \frac{\sum (n_i \bar{x}_i)}{N}\)
\(\bar{X} = \frac{300}{140}\)
Simplify the fraction:
\(\bar{X} = \frac{30}{14} = \frac{15}{7}\)
Convert the fraction to a decimal:
\(\bar{X} \approx 2.142857...\)
Rounding the result to two decimal places, the mean of the combined distribution is approximately 2.14.
| Marks | Number of Candidates |
| More than 10 | 100 |
| More than 20 | 75 |
| More than 30 | 60 |
| More than 40 | 40 |
What is the mode of the given data?
3, 0, 1, 0, 2, 1, 2, 0, 1, 2, 1, 1, 1, 3, 2What is the mode of the given data?
21, 22, 23, 23, 24, 21, 22, 23, 21, 23, 24, 23, 21, 23A bowler has taken 0, 3, 2, 1, 5, 3, 4, 5, 5, 2, 2, 0, 0, 1 and 2 wickets in 15 consecutive matches. What is the mode of the given data?
The data given below shows the number of people who have saved a certain amount of money.
Saving (In Rs.) | Number of people |
5 | 1 |
15 | 3 |
20 | 4 |
25 | 2 |
30 | 1 |
35 | 1 |
40 | 2 |
What is the median of the given data?
If the ratio of mean and median of a certain data is 4 : 5, then find the ratio of its mean and mode.