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Related Concept Videos

Test for Homogeneity01:23

Test for Homogeneity

The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can be stated as...
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...
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Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Allele Traits01:49

Multiple Allele Traits

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One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
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.

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Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

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Published on: October 25, 2011

An additional heterogeneity hypothesis.

Guy Dove1

  • 1Department of Philosophy, University of Louisville, Louisville, KY 40297, USA. guy.dove@louisville.edu

The Behavioral and Brain Sciences
|June 30, 2010
PubMed
Summary
This summary is machine-generated.

Neo-empiricism challenges conceptual eliminativism, as Machery's critique is insufficient. Evidence shows diverse semantic codes, some non-perceptual, complicating the idea of "doing without concepts." This impacts cognitive science research.

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Area of Science:

  • Philosophy of Mind
  • Cognitive Science
  • Epistemology

Background:

  • Machery's conceptual eliminativism faces challenges from neo-empiricism.
  • Neo-empiricism suggests that concepts are grounded in perceptual experience.
  • The debate centers on the nature and origin of concepts.

Purpose of the Study:

  • To evaluate Machery's response to neo-empiricism.
  • To present evidence for multiple, non-perceptually based semantic codes.
  • To explore the implications of representational heterogeneity for conceptual analysis.

Main Methods:

  • Methodological critique of Machery's arguments.
  • Review of empirical evidence regarding semantic codes.
  • Philosophical analysis of conceptual eliminativism and neo-empiricism.

Main Results:

  • Machery's methodological critique does not fully neutralize the neo-empirical threat.
  • Empirical evidence supports the existence of diverse semantic codes, including non-perceptual ones.
  • Representational heterogeneity complicates, but does not eliminate, the challenge of 'doing without concepts.'

Conclusions:

  • Neo-empiricism poses a persistent challenge to conceptual eliminativism.
  • The existence of varied semantic codes necessitates a nuanced understanding of conceptual representation.
  • Further philosophical and empirical investigation is required to address how we 'do without concepts.'