Final answer:
C(50) is calculated by dividing 215,000 by 530, which simplifies the equation. The result determines the value for C(50). Additionally, the concepts of sample size's impact on mean variability and the properties of normal distribution are affirmed.
Step-by-step explanation:
The calculation provided appears to involve a formula with C(50) representing a value calculated with a given function of 50. The calculation can be simplified to find the value of C(50) by performing the arithmetic in the formula:
C(50) = ⅐00 / (50 + 480) = ⅐00 / 530
After carrying out the division, we get the value for C(50).
Concerning the additional provided information:
- It is a fact that as the sample size increases, the variability in the mean decreases, and therefore the interval size decreases as well. This is a key concept in statistics.
- When discussing probability and normal distribution, it's true that in a normal distribution, half the values lie below the mean. This is useful when considering the sampling distribution of sums, as mentioned in the reference to a probability of 0.50.
- For the financial calculations, discounting future values to present value is applied, which is a fundamental concept in finance and economics.