Scientific sampling is the process of examining a small section or sample of a larger group. An example would be to examine one grain of rice out of a bag or pot to determine whether or not the rice as a whole is still usable.Continue Reading
Simple random sampling is a term used to describe the method of selecting the sample to be examined. The sample has the same probability as the rest of the data to be selected.
Scientific sampling is not a reliable source when a high level of accuracy is desired. An advantage of scientific sampling is that it is cost effective to gain an overall perspective of a large group of data.Learn more about Statistics
The p hat is a symbol which stands for sample proportion. In equations, it is represented as a lower-case p with a small caret above it.Full Answer >
The formula to find a sample variance is as follows: s squared equals sigma(x-x-bar)squared over n-1. Working out the problem involves determining the mean, subtracting the mean for each number and then squaring the result and then determining the average of the squared differences.Full Answer >
A good statistical sample size is at least 100, and preferably more, participants. With a 100-participant sample size, the researcher has a margin of error of approximately 10 percent with a 95 percent confidence rating in the results. For the researcher to increase his confidence rating and reduce his margin of error he has to increase the size of the sample.Full Answer >
To calculate the sample variance of a population, first determine the mean of the sample, subtract each data point from the mean, square each resulting number, add all the squared results together, and then divide that number by the total number of points in the data set minus one. A one is subtracted from the total number of data set points in the dividend to compensate for not considering the whole population.Full Answer >