The correct option is (A): P = 110; R = 100
Let's break down the information given in the problem step by step to find the correct relationship between \( P \) and \( R \).
Given Information:
1. \( p\% \) of \( P \) is \( q\% \) more than \( r\% \) of \( R \).
2. The difference between \( P \) and \( R \) is \( r\% \) of \( R \).
3. The sum of \( P \) and \( R \) is 210.
Equations Derived:
1. From the first point:
\[\frac{p}{100} P = \frac{r}{100} R + \frac{q}{100} \left( \frac{r}{100} R \right)\]
This simplifies to:
\[\frac{p}{100} P = \frac{(r + qr/100)}{100} R\]
or:
\[pP = (r + \frac{qr}{100}) R\]
2. From the second point:
\[P - R = \frac{r}{100} R\]
Rearranging gives:
\[P = R + \frac{r}{100} R = R \left(1 + \frac{r}{100}\right)\]
3. From the third point:
\[P + R = 210\]
Solving the System of Equations:
Now we have:
1. \( P = R \left(1 + \frac{r}{100}\right) \)
2. \( P + R = 210 \)
Substituting the first equation into the second gives:
\[R \left(1 + \frac{r}{100}\right) + R = 210\]
This simplifies to:
\[R \left(2 + \frac{r}{100}\right) = 210\]
Thus:
\[R = \frac{210}{2 + \frac{r}{100}}\]
Now substituting \( R \) back into the equation for \( P \):
\[P = \frac{210}{2 + \frac{r}{100}} \left(1 + \frac{r}{100}\right)\]
Exploring Possible Statements:
Now, let’s test the provided options:
1. \( P = 110; R = 100 \):
\( P + R = 110 + 100 = 210 \) (Correct)
\( P - R = 110 - 100 = 10 \) which equals \( \frac{r}{100} R \) (Check required)
2. \( P = 220; R = 200 \):
\( P + R = 220 + 200 = 420 \) (Incorrect)
3. \( P = 3300; R = 3000 \):
\( P + R = 3300 + 3000 = 6300 \) (Incorrect)
4. All of the above (not applicable due to earlier checks).
Conclusion:
From the valid checks, the only true option is \( P = 110 \) and \( R = 100 \). Therefore, the correct answer is:
P = 110; R = 100.
List-I | List-II |
---|---|
(A) Confidence level | (I) Percentage of all possible samples that can be expected to include the true population parameter |
(B) Significance level | (III) The probability of making a wrong decision when the null hypothesis is true |
(C) Confidence interval | (II) Range that could be expected to contain the population parameter of interest |
(D) Standard error | (IV) The standard deviation of the sampling distribution of a statistic |