Related Experiment Video

Updated: May 23, 2026

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
08:38

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

Statistical inference in behavior analysis: Some things significance testing does and does not do

M N Branch

    The Behavior Analyst
    |April 6, 2012
    PubMed

    More Related Videos

    Rodent Behavioral Testing to Assess Functional Deficits Caused by Microelectrode Implantation in the Rat Motor Cortex10:42

    Rodent Behavioral Testing to Assess Functional Deficits Caused by Microelectrode Implantation in the Rat Motor Cortex

    Published on: August 18, 2018

    Strategies for Assessing Autistic-Like Behaviors in Mice07:38

    Strategies for Assessing Autistic-Like Behaviors in Mice

    Published on: September 20, 2024

    Related Concept Videos

    Statistical Significance01:37

    Statistical Significance

    Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
    Significance Testing: Overview01:04

    Significance Testing: Overview

    Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
    Statistical Hypothesis Testing01:16

    Statistical Hypothesis Testing

    Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
    Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
    Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

    Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data

    Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
    Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance, comparing...
    Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

    Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

    In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
    The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...
    Decision Making: Traditional Method01:14

    Decision Making: Traditional Method

    The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
    First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...