Final answer:
The question deals with the use of normal distribution and standard deviation in statistics for calculating probabilities and understanding data dispersion. Though the statement regarding organ weight cannot be labeled true or false without empirical evidence, normally, z-scores and probabilities are integral to sample mean calculations.
Step-by-step explanation:
The question concerns the probability of a sample mean and the use of the normal distribution in statistics. In the case of the weights of adult male organs, the distribution is indeed often assumed to be normal (bell-shaped), but without specific empirical data, we can't assert whether the mean of 350 g and standard deviation of 15 g are true for the general population. Therefore, the statement about the male organ weight could neither be definitively labeled true nor false without more context or empirical evidence.
When dealing with samples and populations in statistics, calculating probabilities and confidence intervals involves understanding the normal distribution and the standard deviation of the data. If a distribution of weights is normally distributed, you can calculate the z-scores for each value to understand how many standard deviations away from the mean those values are. Furthermore, to calculate the probability that a sample mean falls within a certain range, you would generally use the central limit theorem and the standard error of the mean, which is the standard deviation divided by the square root of the sample size.