A nonprofit organization is asking for donations. It hopes to design an email campaign that will ensure it receives at least $50,000. The campaign will reach 10,000 donors and receive donations with a mean of $10 and a standard deviation of $5. Which measure should be used to determine the probability of the campaign receiving $50,000?

The median represents the middle value in a data set and does not provide information about the distribution of donations or the probability of reaching a specific target like $50,000. While it can indicate the central tendency of the donations, it does not account for the variability or spread of the data necessary for probability calculations.

R-squared measures the proportion of variance in the dependent variable that can be explained by the independent variable(s) in regression analysis. It is not relevant for calculating probabilities related to a specific donation target, as it does not provide a direct measure of how likely the campaign is to reach $50,000.

The T-statistic is used in hypothesis testing to determine if there is a significant difference between means when sample sizes are small or when the population standard deviation is unknown. In this scenario, it does not assist in calculating the probability of reaching a specific donation amount, making it inappropriate for this context.