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ANOVA (Part A) - Sources of Variance in an Experiment

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Uploaded by on Mar 29, 2009

Sources of Variance in an Experiment
[1] Non-systematic Variance: Within Group Variance (e.g., due to individual differences) and Sampling Error.
[2] Systematic Variance: The Experimental Variance (due to the manipulation of independent variable) which is good, and Extraneous Variance (any systematic variation due to confounds) which is bad

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  • very useful for visualisation of variance and its relevance, am sharing with my psych student network.

  • Thanks ! Much appreciated

  • Hi professor,

    Can you please help me analyze my data. I am serious. I am struck and it is hard to find a goos statistician in my area.

  • oi tell us what this vitamin is

  • @Aelfredus26 no. he only says that there is a RELATIONSHIP between the two (at about 4:00).

  • Does Sampling Error equals Between-Group Variance?

  • Hi Prof Kelly,

    I have four experiment groups that includes 1 control run. Each group has three ensembles. I want to show that all the groups are significantly different from each other. Is anova a good choice for this.

  • Immensely helpful! Thank you!

  • wow, your good! you made it easier for me to understand.

  • Nice explanation!.. thanks

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