Consider the following frequency distribution for the next three (03) items follow : The total frequency is 120. The mean is 50.Class 0-20 20-40 40-60 60-80 80-100 Frequency 17 p + q 32 p - 3q 19
What is the value of q ?
1
The problem provides a frequency distribution table with class intervals and their corresponding frequencies. Some frequencies are expressed in terms of variables, 'p' and 'q'. We are given two crucial pieces of information: the total frequency and the mean of the distribution. Our goal is to use this information to find the values of 'p' and 'q' and then specifically determine the value of 'q'.
A frequency distribution organizes data into classes and shows how many observations fall into each class. The mean of a grouped frequency distribution is calculated using the formula:
\[ \text{Mean} = \frac{\sum f_i x_i}{\sum f_i} \]
Where:
The total frequency is given as 120. The sum of all frequencies in the table must equal this total.
\[ \text{Sum of Frequencies} = 17 + (p+q) + 32 + (p-3q) + 19 = 120 \]
Combining like terms:
\[ (p+p) + (q-3q) + (17+32+19) = 120 \]
\[ 2p - 2q + 68 = 120 \]
\[ 2p - 2q = 120 - 68 \]
\[ 2p - 2q = 52 \]
Dividing the equation by 2:
\[ p - q = 26 \quad \text{(Equation 1)} \]
To calculate the mean, we need the midpoint of each class interval. The class mark \(x_i\) is the average of the lower and upper limits of the class interval.
Now, we multiply the frequency of each class by its corresponding class mark.
Add up the \(f_i x_i\) values for all classes:
\[ \sum f_i x_i = 170 + (30p + 30q) + 1600 + (70p - 210q) + 1710 \]
Combine terms with 'p', 'q', and constant terms:
\[ \sum f_i x_i = (30p + 70p) + (30q - 210q) + (170 + 1600 + 1710) \]
\[ \sum f_i x_i = 100p - 180q + 3480 \]
The mean is given as 50, and the total frequency (\(\sum f_i\)) is 120. Substitute these values and the expression for \(\sum f_i x_i\) into the mean formula:
\[ 50 = \frac{100p - 180q + 3480}{120} \]
Multiply both sides by 120:
\[ 50 \times 120 = 100p - 180q + 3480 \]
\[ 6000 = 100p - 180q + 3480 \]
Subtract 3480 from both sides:
\[ 6000 - 3480 = 100p - 180q \]
\[ 2520 = 100p - 180q \]
Divide the equation by the greatest common divisor, which is 20:
\[ \frac{2520}{20} = \frac{100p}{20} - \frac{180q}{20} \]
\[ 126 = 5p - 9q \quad \text{(Equation 2)} \]
We now have a system of two linear equations with two variables, p and q:
From Equation 1, we can express p in terms of q:
\[ p = q + 26 \]
Substitute this expression for p into Equation 2:
\[ 5(q + 26) - 9q = 126 \]
\[ 5q + 130 - 9q = 126 \]
Combine like terms:
\[ (5q - 9q) + 130 = 126 \]
\[ -4q + 130 = 126 \]
Subtract 130 from both sides:
\[ -4q = 126 - 130 \]
\[ -4q = -4 \]
Divide by -4:
\[ q = \frac{-4}{-4} \]
\[ q = 1 \]
Although not asked, we can find the value of p using \(p = q + 26\):
\[ p = 1 + 26 = 27 \]
Now, let's check the frequencies with p=27 and q=1:
The frequencies are 17, 28, 32, 24, 19. All are non-negative, which is good. Their sum is \(17+28+32+24+19 = 120\), which matches the given total frequency.
Here is the frequency distribution with class marks and \(f_i x_i\) expressions/values:
| Class | Frequency (\(f_i\)) | Class Mark (\(x_i\)) | \(f_i x_i\) |
|---|---|---|---|
| 0-20 | 17 | 10 | 170 |
| 20-40 | p+q | 30 | \(30(p+q) = 30p + 30q\) |
| 40-60 | 32 | 50 | 1600 |
| 60-80 | p-3q | 70 | \(70(p-3q) = 70p - 210q\) |
| 80-100 | 19 | 90 | 1710 |
| Total | \(\sum f_i = 120\) | \(\sum f_i x_i = 100p - 180q + 3480\) |
Using the calculated values p=27 and q=1, we can also fill in the actual frequencies and \(f_i x_i\) values:
| Class | Frequency (\(f_i\)) | Class Mark (\(x_i\)) | \(f_i x_i\) |
|---|---|---|---|
| 0-20 | 17 | 10 | 170 |
| 20-40 | 28 | 30 | 840 |
| 40-60 | 32 | 50 | 1600 |
| 60-80 | 24 | 70 | 1680 |
| 80-100 | 19 | 90 | 1710 |
| Total | \(\sum f_i = 120\) | \(\sum f_i x_i = 6000\) |
Mean = \(\frac{6000}{120} = 50\), which matches the given information.
From our calculations solving the system of equations, we found that the value of q is 1.
| Concept | Description | Formula/Calculation |
|---|---|---|
| Frequency Distribution | A table showing the frequency of occurrence of data points within specific intervals or categories. | Organizes data into classes. |
| Total Frequency | The sum of all frequencies in the distribution. Represents the total number of observations. | \(\sum f_i\) |
| Class Mark | The midpoint of a class interval, used as a representative value for the data in that class when calculating statistics like the mean for grouped data. | (Lower Limit + Upper Limit) / 2 |
| Mean of Grouped Data | The average value of data in a frequency distribution. Approximated using class marks. | \(\frac{\sum f_i x_i}{\sum f_i}\) |
In this problem, finding the values of 'p' and 'q' required solving a system of two linear equations. A system of linear equations is a set of two or more linear equations involving the same variables.
Common methods for solving systems of two linear equations include:
Understanding how to set up and solve systems of equations is fundamental in various quantitative problems, including those in statistics where unknown frequencies or values need to be determined based on given statistical measures.
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