A:### Quick Answer

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.

Know MoreSimple 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 StatisticsSources:

- Q:
## What is the scientific definition of absorption?

A:In chemistry, absorption refers to the process through which one substance permeates another. An example of this is a liquid permeating a solid. Absorption can be physical or chemical, depending on whether it is non-reactive or reactive, respectively.

Full Answer >Filed Under: - Q:
## How do you use R-squared for linear regression analysis?

A:R-squared is used for linear regression analysis by transforming the dependent variable in a regression model that is fitted to a particular set of data. In order to use R-squared on a specific regression model, a statistician may have to start with other transformations such as logging and deflating so as to eliminate unnecessary variability caused by factors such as inflation. These transformations explain a significant amount of variance.

Full Answer >Filed Under: - Q:
## What is the outlier in a math problem?

A:In math, outliers are observations or data points that lie an abnormal distance away from all of the other values in a sample. Outliers are usually disregarded in statistics because they can skew calculations and cause the final statistical analyses to be invalid.

Full Answer >Filed Under: - Q:
## What formula is used to find a sample variance?

A:

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.Filed Under: