STATISTICS IN PSYCHOLOGY

In psychology, statistics refers to the use of mathematical and statistical techniques to the analysis and interpretation of data gathered during psychological study. It entails using statistical methods to summarize, characterize, and make conclusions from the data. Statistics are a tool used by psychologists to analyze data, find patterns, and test theories.

Because it enables researchers to make sense of huge data sets and draw inferences about human behavior, statistics is a crucial tool for psychologists.

Frequently Used Statistics in Psychology

In psychological research, several statistical methods are employed, and the method chosen relies on the study question and the type of data being analyzed. The following list includes some of the most popular statistical methods in psychology:

1. Descriptive statistics are statistical methods for summarizing and describing data. Measures of central tendency (mean, median, mode) and measures of variability (range, standard deviation) are often used descriptive statistics in psychology.
2. Inferential Statistics: Using statistical methods, conclusions can be drawn about a population from a sample. The estimation of effect sizes, confidence intervals, and hypothesis testing are common applications of inferential statistics in psychology.
3. Correlation Analysis: Using statistics, this method gauges the connection between two variables. The existence and strength of a relationship between two variables can be determined via correlation analysis.
4. Regression analysis is a statistical method for figuring out how one or more independent variables and a dependent variable are related. Finding the determinants of a given outcome variable can be assisted by regression analysis.
5. Factor analysis is a statistical method for locating fundamental components or dimensions within a group of data. By revealing common underlying characteristics, factor analysis can aid in the simplification of complex data sets.
6. The statistical method known as ANOVA (Analysis of Variance) is used to determine whether there are significant differences between two or more groups. ANOVA can be used to identify whether variations between groups are the result of random chance or an actual effect.

Ms. Divya Babbar

Asst. Professor

Department of Mathematics

School of Basic & Applied Sciences