# Statistics basic terms definition

Statistics itself also provides tools for prediction and forecasting through statistical models.

A set of data values in which the mean is generally greater than the median. Small residuals mean the model leads to more accurate predictions than large residuals. But the mapping of computer science data types to statistical data types depends on which categorization of the latter is being implemented.

### Statistical terms and definitions pdf

Primary data is data collected by the primary analyst. Design of experiments , using blocking to reduce the influence of confounding variables , and randomized assignment of treatments to subjects to allow unbiased estimates of treatment effects and experimental error. Variance can help determine the risk an investor might accept when buying an investment. This is depicted in the form of a straight line called linear regression. While the tools of data analysis work best on data from randomized studies , they are also applied to other kinds of data—like natural experiments and observational studies [43] —for which a statistician would use a modified, more structured estimation method e. The least squares regression model is one in which the sum of squared residuals is minimized. A statistic is obtained from a sample.

Point estimate: A single statistic number that is determined from a sample. A numerical measure that describes some property of the population.

Multiple linear regression uses two or more independent variables to explain a dependent variable. This calculation is useful when two different data sets have different means and standard deviations. Correlation should not be confused with causation. Skewness Skewness describes the degree a set of data varies from the standard distribution in a set of statistical data.

### Basic statistical terms and symbols

Each distribution will be defined by its degrees of freedom. Bonds can have return both from capital appreciation and from interest payments. The famous Hawthorne study examined changes to the working environment at the Hawthorne plant of the Western Electric Company. There are many different types of statistics pertaining to which situation you need to analyze. Sample statistics, if they are unbiased, are economical ways to draw inferences about the larger population. For example, you might find a correlation between going to the library at least 40 times per semester and getting high scores on tests. Non-experimental data is typically seen in the social sciences where it is impossible to "hold everything else constant. The researchers first measured the productivity in the plant, then modified the illumination in an area of the plant and checked if the changes in illumination affected productivity. The more statistical significance assigned to an observation, the less likely the observation occurred by chance.

This risk can be measured by the security's standard deviation in an isolated setting.

Rated 6/10
based on 41 review

Download