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Related Concept Videos

What is a Hypothesis?01:14

What is a Hypothesis?

A hypothesis can be a simple sentence or statement about a property or any phenomenon observed or predicted for a population. It is usually a claim about a  property of the population. It can be stated for any field observations or experiments. A hypothesis statement cannot be said to be right or wrong as it is merely a statement. It needs to be tested through an elaborate data collection process and an appropriate statistical test. A hypothesis should be a general but not a vague statement. It...
Null and Alternative Hypotheses01:16

Null and Alternative Hypotheses

The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As  a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the population that is...
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...
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null hypothesis and 'fail to...
Types of Hypothesis Testing01:11

Types of Hypothesis Testing

There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.
Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...

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Related Experiment Video

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Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
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Published on: August 26, 2016

Representation of research hypotheses.

Larisa N Soldatova1, Andrey Rzhetsky

  • 1Department of Computer Science, Penglais, Aberystwyth University, Wales, UK. lss@aber.co.uk.

Journal of Biomedical Semantics
|June 1, 2011
PubMed
Summary

Computers now generate scientific hypotheses automatically. This work introduces a formal system for recording these hypotheses, enabling automated scientific discovery and improving human validation.

Area of Science:

  • Computational Biology
  • Artificial Intelligence in Science

Background:

  • Automated hypothesis generation is increasingly common in biology, with applications like genome annotation.
  • Robot scientists can fully automate scientific investigations, including hypothesis generation and testing.

Purpose of the Study:

  • To propose a machine-amenable formalism for recording automatically generated hypotheses.
  • To present a framework for automated hypothesis generation and testing.

Main Methods:

  • Developing a logical formalism to represent hypothesis sets as input/output for investigations.
  • Implementing key components of the proposed framework in the Robot Scientist 'Adam'.

Main Results:

  • The proposed formalism allows for the operational representation and decomposition of hypotheses.

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Last Updated: Jun 1, 2026

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

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  • Demonstrated implementation within the 'Adam' robot scientist system.
  • Facilitates explicit, formal descriptions of research hypotheses, results, and conclusions.

    • Conclusions:

    • Formal representation of automatically generated hypotheses enhances human production, recording, and validation.
    • This approach supports more rigorous and reproducible automated scientific discovery.