Answer:
It is not possible to conclude whether the population mean differs from the sample mean without additional information such as a confidence interval or hypothesis test. While the sample mean and standard deviation provide information about the central tendency and variability of the sample, it cannot be assumed to accurately reflect the population parameters. Since the population is not approximately normal, it is important to use appropriate methods for inference such as non-parametric tests or the Central Limit Theorem for large sample sizes.