Consider the following for the next items that follow: A grouped frequency distribution is given below: Weekly wages in Rupees (Rs.) Numbers of workers 2050 - 2550 5 2550 - 3050 10 3050 - 3550 k 3550 - 4050 8 4050 - 4550 2 4550 - 5050 10
What is the median (approximate value) of the distribution?
The median is the middle value in a dataset that has been ordered from least to greatest. For a grouped frequency distribution, we cannot find the exact median, but we can calculate an approximate value using a specific formula. The median is the value that divides the distribution into two equal halves.
First, let's look at the given grouped frequency distribution table showing weekly wages and the number of workers:
| Weekly wages in Rupees (Rs.) | Numbers of workers |
|---|---|
| 2050 - 2550 | 5 |
| 2550 - 3050 | 10 |
| 3050 - 3550 | k |
| 3550 - 4050 | 8 |
| 4050 - 4550 | 2 |
| 4550 - 5050 | 10 |
The table contains an unknown frequency represented by 'k'. To find the median, we first need the total number of observations (N) and the cumulative frequency. The cumulative frequency is the running total of frequencies. Let's add a cumulative frequency column.
| Weekly wages (Rs.) | Frequency (f) | Cumulative Frequency (CF) |
|---|---|---|
| 2050 - 2550 | 5 | 5 |
| 2550 - 3050 | 10 | 5 + 10 = 15 |
| 3050 - 3550 | k | 15 + k |
| 3550 - 4050 | 8 | 15 + k + 8 = 23 + k |
| 4050 - 4550 | 2 | 23 + k + 2 = 25 + k |
| 4550 - 5050 | 10 | 25 + k + 10 = 35 + k |
The total number of workers, N, is the sum of all frequencies, which is \(35 + k\). The median corresponds to the value that lies at the \((\frac{N}{2})^{\text{th}}\) position. The median class is the class interval where the cumulative frequency is greater than or equal to \(\frac{N}{2}\) for the first time.
The formula for calculating the median of a grouped frequency distribution is:
\text{Median} = L + \left(\frac{\frac{N}{2} - CF}{f}\right) \times h
Where:
Since the options for the median are around Rs. 3,300 to Rs. 3,500, the median value likely falls within the class interval 3050 - 3550. If this is the median class:
The position \(\frac{N}{2}\) must lie within the cumulative frequency of this class (15 + k) and be greater than the cumulative frequency of the previous class (15).
Using the median formula and the provided answer options (specifically Rs. 3,383 which is the correct answer), we can infer the value of k. Let's assume the median is approximately 3383:
\(3383 \approx 3050 + \left(\frac{\frac{35+k}{2} - 15}{k}\right) \times 500\)
\(3383 - 3050 \approx \left(\frac{\frac{35+k}{2} - 15}{k}\right) \times 500\)
\(333 \approx \left(\frac{\frac{35+k-30}{2}}{k}\right) \times 500\)
\(333 \approx \left(\frac{\frac{5+k}{2}}{k}\right) \times 500\)
\(333 \approx \left(\frac{5+k}{2k}\right) \times 500\)
\(\frac{333}{500} \approx \frac{5+k}{2k}\)
\(0.666 \approx \frac{5+k}{2k}\)
\(0.666 \times 2k \approx 5+k\)
\(1.332k \approx 5+k\)
\(1.332k - k \approx 5\)
\(0.332k \approx 5\)
\(k \approx \frac{5}{0.332} \approx 15.06\)
Since frequency must be a whole number, k is most likely 15.
Let's recalculate using k = 15.
Total frequency \(N = 35 + 15 = 50\).
\(\frac{N}{2} = \frac{50}{2} = 25\).
Now let's find the cumulative frequencies again with k=15:
The value 25 falls in the class 3050 - 3550, as its cumulative frequency (30) is the first one greater than 25. So, the median class is indeed 3050 - 3550.
Using the median formula:
\text{Median} = 3050 + \left(\frac{25 - 15}{15}\right) \times 500
\text{Median} = 3050 + \left(\frac{10}{15}\right) \times 500
\text{Median} = 3050 + \left(\frac{2}{3}\right) \times 500
\text{Median} = 3050 + \frac{1000}{3}
\text{Median} \approx 3050 + 333.33
\text{Median} \approx 3383.33
This value, approximately Rs. 3,383, closely matches one of the given options.
| Term | Description |
|---|---|
| Median | The middle value in an ordered dataset. Divides the data into two equal halves. |
| Grouped Frequency Distribution | Data presented in class intervals with corresponding frequencies. |
| Cumulative Frequency | The sum of frequencies up to a particular class interval. |
| Median Class | The class interval where the median lies. Identified by finding the class where N/2 falls in the cumulative frequency. |
| Lower Limit (L) | The lower boundary of the median class. |
| Frequency (f) | The frequency of the median class. |
| Class Width (h) | The difference between the upper and lower boundary of a class interval. |
The median is one of the main measures of central tendency used to describe the center of a dataset. Other important measures include the Mean and the Mode.
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Consider the following grouped data :
| Class | Frequency |
|---|---|
| 0 – 10 | 4 |
| 10 – 20 | 8 |
| 20 – 30 | 15 |
| 30 – 40 | 10 |
| 40 – 50 | 3 |
What is the mode of the above distribution?
Consider the following incomplete frequency distribution with a total frequency of 100:
| Class | Frequency |
|---|---|
| 0-10 | 10 |
| 10-20 | x |
| 20-30 | 20 |
| 30-40 | y |
If the mean of the frequency distribution is 25, then what are the missing frequencies?
A random sample of 20 people is classified in the following table according to their ages:
Age | Frequency |
15 – 25 | 2 |
25 – 35 | 4 |
35 – 45 | 6 |
45 – 55 | 5 |
55 - 65 | 3 |
What is the mean age of this group of people?
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