Let P, Q, R represent mean, median and mode. If for some distribution \(5 P=4 Q=\frac{R}{2}\) then what is \(\frac{P+Q}{2 P+0.7 R}\) equal to ?
The question provides a relationship between the mean (P), median (Q), and mode (R) of a distribution: \(5 P = 4 Q = \frac{R}{2}\). We are asked to evaluate the expression \(\frac{P+Q}{2 P+0.7 R}\).
To solve this, we can express P, Q, and R in terms of a single variable using the given relationship.
Let the common value of the given relationship be a constant, say \(k\). So, we have:
Now we have P, Q, and R all expressed in terms of \(k\).
The expression we need to evaluate is \(\frac{P+Q}{2 P+0.7 R}\).
Substitute the values of P, Q, and R in terms of \(k\) into the expression:
Numerator: \(P + Q = \frac{k}{5} + \frac{k}{4}\)
Denominator: \(2P + 0.7R = 2 \left(\frac{k}{5}\right) + 0.7 (2k) = \frac{2k}{5} + 1.4k\)
Let's simplify the numerator:
\(P + Q = \frac{k}{5} + \frac{k}{4}\)
To add these fractions, we find a common denominator, which is 20.
\(P + Q = \frac{4k}{20} + \frac{5k}{20} = \frac{4k + 5k}{20} = \frac{9k}{20}\)
Now, let's simplify the denominator:
\(2P + 0.7R = \frac{2k}{5} + 1.4k\)
We can write \(1.4k\) as \(\frac{14}{10}k\) or \(\frac{7}{5}k\).
\(2P + 0.7R = \frac{2k}{5} + \frac{7k}{5} = \frac{2k + 7k}{5} = \frac{9k}{5}\)
Alternatively, for the denominator:
\(2P + 0.7R = \frac{2k}{5} + 1.4k\)
Convert \(\frac{2k}{5}\) to a decimal: \(\frac{2}{5}k = 0.4k\).
\(2P + 0.7R = 0.4k + 1.4k = 1.8k\)
Writing \(1.8k\) as a fraction: \(1.8k = \frac{18}{10}k = \frac{9}{5}k\). Both methods give the same result for the denominator.
Now, substitute the simplified numerator and denominator back into the expression:
\(\frac{P+Q}{2 P+0.7 R} = \frac{\frac{9k}{20}}{\frac{9k}{5}}\)
To divide by a fraction, we multiply by its reciprocal:
\(\frac{9k}{20} \times \frac{5}{9k}\)
Assuming \(k \neq 0\) (which must be true if P, Q, and R represent non-zero statistical measures related by this equation), the \(k\) terms cancel out, and the \(9\) terms cancel out:
\(\frac{\cancel{9k}}{20} \times \frac{5}{\cancel{9k}} = \frac{5}{20}\)
Simplify the fraction \(\frac{5}{20}\) by dividing both the numerator and denominator by 5:
\(\frac{5 \div 5}{20 \div 5} = \frac{1}{4}\)
So, the value of the expression \(\frac{P+Q}{2 P+0.7 R}\) is \(\frac{1}{4}\).
| Step | Description | Expression/Value |
|---|---|---|
| 1 | Given relationship | \(5P = 4Q = \frac{R}{2} = k\) |
| 2 | Express P, Q, R in terms of k | \(P = \frac{k}{5}, Q = \frac{k}{4}, R = 2k\) |
| 3 | Numerator \(P+Q\) | \(\frac{k}{5} + \frac{k}{4} = \frac{9k}{20}\) |
| 4 | Denominator \(2P+0.7R\) | \(2(\frac{k}{5}) + 0.7(2k) = \frac{2k}{5} + 1.4k = \frac{9k}{5}\) |
| 5 | Expression Value | \(\frac{\frac{9k}{20}}{\frac{9k}{5}} = \frac{9k}{20} \times \frac{5}{9k}\) |
| 6 | Final Simplification | \(\frac{5}{20} = \frac{1}{4}\) |
Given the specific relationship \(5 P=4 Q=\frac{R}{2}\) between the mean (P), median (Q), and mode (R), we found that the value of the expression \(\frac{P+Q}{2 P+0.7 R}\) is \(\frac{1}{4}\). This calculation relied purely on the given algebraic relationship, not on the general properties of mean, median, and mode for specific distributions.
| Term | Definition | Symbol in Problem |
|---|---|---|
| Mean | The average of a dataset. | P |
| Median | The middle value in a dataset sorted numerically. | Q |
| Mode | The value that appears most frequently in a dataset. | R |
Mean, median, and mode are measures of central tendency. They provide a single value that attempts to describe the center of a set of data.
For symmetrical distributions (like the normal distribution), the mean, median, and mode are all equal. For skewed distributions, these measures differ, and their relative positions (e.g., mean > median > mode for positively skewed) can give insight into the shape of the distribution. The empirical relationship between mean, median, and mode, which states that for moderately skewed distributions, Mode \(\approx\) 3 Median - 2 Mean, is a general approximation and not directly used in this specific problem which provides a distinct, explicit relationship.
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