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1. • • When comparing groups in your data, you can have either independent or dependent samples. The type of samples in your experimental design impacts sample size requirements, statistical power, the proper analysis, and even your study’s costs.
     statisticsbyjim.com/basics/independent-dependent-samples/

     Independent and Dependent Samples in Statistics

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   What is the difference between independent and dependent samples?

   • The difference between dependent and independent samples refers to the nature of the relationship between the data points or groups being studied. Independent samples: Independent samples are two separate groups of data points that were collected independently. Each sample represents a separate group, and there is no direct link or relationship ...

   How to explain the difference between dependent and independent sa…

   www.fischer-data-science.com/en/blog/how-to-explain-the-difference-between-dependent-and-independent-samples.html

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   What is dependent sampling?

   • The data consists of a single population and two measurements. A simple random sample is taken from the population and pairs of measurement are collected. This is also called related sampling or matched pair design. Dependent sampling actually reduces to a one population model of differences

   11.1: Independent vs. Dependent Sampling - Statistics LibreTexts

   stats.libretexts.org/Bookshelves/Introductory_Statistics/Inferential_Statistics_and_Probability_-_A_Holistic_Approach_(Geraghty)/11:_Two_Populations_Inference/11.01:_Independent_vs._Dependent_Sampling

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   How many samples can be used in independent and dependent sampling?

   • Of course, in the case of independent and dependent sampling, there can be more than two samples. The important thing is that in the case of independent sampling, the individual groups or samples have nothing to do with each other, and in the case of dependent sampling, a respondent appears in all groups.

   Dependent and independent samples • Simply explained - DATAtab

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   Do dependent samples provide information about subjects in other groups?

   • Related post: Independent Samples T Test In dependent samples, subjects in one group do provide information about subjects in other groups. The groups contain either the same set of subjects or different subjects that the analysts have paired meaningfully.

   Independent and Dependent Samples in Statistics

   statisticsbyjim.com/basics/independent-dependent-samples/

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   How do you remember the difference between independent and dependent variables?

   • An easy way to remember the difference between independent and dependent variables is to insert the two variables into the following sentence in such a way that it makes sense: Changing (independent variable) affects the value of (dependent variable). For example, it would make sense to say:

   Independent vs. Dependent Variables: What’s the Difference? - Statology

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   What is a dependent variable in an experiment?

   • The dependent variable: the variable being measured in an experiment that is “dependent” on the independent variable. In an experiment, an experimenter is interested in seeing how the dependent variable changes as a result of the independent being changed or manipulated in some way.

   Independent vs. Dependent Variables: What’s the Difference? - Statology

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3. statisticsbyjim.com › basics › independent-dependentIndependent and Dependent Samples in Statistics

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   Sep 2, 2020 · In this post, I’ll define independent and dependent samples, explain their pros and cons, highlight the appropriate analyses for each type, and illustrate how dependent groups can increase your statistical power.

4. datatab.net › dependent-and-independent-samplesDependent and independent samples • Simply explained - DATAtab

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   What is the difference between a dependent sample and an independent sample? And why is it important to know the difference? Whether the data at hand are from a dependent or an independent sample determines which hypothesis test is used.

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6. stats.libretexts.org › Bookshelves › Introductory11.1: Independent vs. Dependent Sampling - Statistics LibreTexts

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   Apr 9, 2022 · The data consists of a single population and two measurements. A simple random sample is taken from the population and pairs of measurement are collected. This is also called related sampling or matched pair design. Dependent sampling actually reduces to a one population model of differences.

7. www.fischer-data-science.com › en › blogDifference between Dependent and Independent Samples

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   Mar 1, 2024 · Examples of dependent samples include repeated measurements on the same individuals or paired measurements, such as before-and-after comparisons. Independent Samples: Independent samples are groups of data where there are no fixed pairings or relationships between the elements.

8. www.fischer-data-science.com › en › blogHow to explain the difference between dependent and ...

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   Sep 1, 2023 · The difference between dependent and independent samples refers to the nature of the relationship between the data points or groups being studied. Independent samples: Independent samples are two separate groups of data points that were collected independently.

9. www.scribbr.com › methodology › independent-andIndependent vs. Dependent Variables | Definition & Examples

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   Feb 3, 2022 · An independent variable is the cause while a dependent variable is the effect in a causal research study.

10. www.statology.org › independent-vs-dependent-variablesIndependent vs. Dependent Variables: What’s the Difference?

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    Feb 5, 2020 · The independent variable: the variable that an experimenter changes or controls so that they can observe the effects on the dependent variable. The dependent variable: the variable being measured in an experiment that is “dependent” on the independent variable.