Differences in the mean and standard deviations for each sample occur due to the inherent variability in the population and the randomness of the sampling process. In many cases, distinct samples grab disparate groups of population characters,meaning different sets of characters are likely to be drawn in the samples (Demir, 2022). This results in different calculated averages and variability since some samples might incorporate different values of extremities or mean of the population characteristics. For instance, samples could be of NBA players, and some samples could have more players scoring and averaging high points per game, while other samples might have the majority of players scoring and therefore having low points per game on average, and this leads to differences in the dispersion of points per game. This variability is a result of sampling since it depicts the sample that was taken from the population that actually has variability. These differences are referred to as sampling errors because they represent the deviation of the sample statistics from the actual population parameters purely due to the randomness of the sampling process. As with any type of random selection of a group of people for a survey rather than selecting the entire population, there's going to be a sampling error. It is a measure o