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We begin by introducing two general types of statistics: Descriptive statistics: statistics that summarize observations. Inferential statistics: statistics used to interpret the meaning of descriptive statistics.

5 basic statistics concepts Regression. Regression is a method for comparing two variables when one of them is independent and the other, or the others, depends on that first variable. ... Calculating the mean. ... Standard deviation. ... Sample size determination. ... Hypothesis testing.

Consider statistics as a problem-solving process and examine its four components: asking questions, collecting appropriate data, analyzing the data, and interpreting the results.

Statistical data are the outcomes or the observations which occur in scientific experiments or an investigation. To conduct any analysis it is must to have some data.

The two major areas of statistics are known as descriptive statistics, which describes the properties of sample and population data, and inferential statistics, which uses those properties to test hypotheses and draw conclusions.

Statistics simply means numerical data, and is field of math that generally deals with collection of data, tabulation, and interpretation of numerical data. It is actually a form of mathematical analysis that uses different quantitative models to produce a set of experimental data or studies of real life.

The two main branches of statistics are descriptive statistics and inferential statistics.

Point pattern analysis approaches can be global or local. Global statistics detect the existence of a spatial structure in the data. Local statistics complement the global statistics by identifying where the spatial structures are (Ord & Getis, 1995).