To solve the given mathematical expressions, we need to break down each formula and compute the required values using Python. Let's focus on the first three expressions:
To compute \( P_L(n) \), we use the formula:
\[ P_L(n) = \frac{\sum p_n q_0}{\sum p_0 q_0} \times 100 \]
Given the values:
We find:
\[ P_L(n) = \frac{50}{122} \times 100 \approx 40.9836 \]
Using the formula for \( P \):
\[ P = R \left[ \frac{(1+1)^{n}-1}{r(1+1)^{n}} \right] \]
Substituting the values:
We calculate:
\[ P = 100 \left[ \frac{(2)^{5}-1}{0.05 \cdot (2)^{5}} \right] = 100 \left[ \frac{32-1}{0.05 \cdot 32} \right] = 100 \left[ \frac{31}{1.6} \right] = 1937.5 \]
For \( P_P(n) \), we use the formula:
\[ P_P(n) = \frac{\sum p_n q_n}{\sum p_0 q_n} \times 100 \]
With the values:
\[ P_P(n) = \frac{68}{167} \times 100 \approx 40.7186 \]
The results are:
Thus, the final answers are:
\[ \boxed{P_L(n) \approx 40.9836} \] \[ \boxed{P = 1937.5} \] \[ \boxed{P_P(n) \approx 40.7186} \]
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