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when conducting an analysis of variance, you are comparing two components of variance. which two components are you comparing? in order for you to reject the null hypothesis, which component has to be statistically larger?

Respuesta :

The statistical analysis method known as analysis of variance (ANOVA) divides the observed aggregate variability within a data set into two parts:

  1. Systematic factors
  2. Random factors.
  • The presented data set is statistically affected by the systematic factors but not by the random ones.
  • You reject the hull hypothesis if the difference between your data and the null hypothesis is greater than the critical value but not if it is less than the critical value.
  • The variance components can be estimated using one of four distinct techniques: analysis of variance (ANOVA), maximum likelihood (ML), restricted maximum likelihood (RML), and minimum norm quadratic unbiased estimator (MINQUE) (REML).
  • There are numerous specifications available for the various procedures.
  • When the p-value is less than or equal to your significance level, reject the null hypothesis.
  • The alternative theory, which contends that the effect is widespread, is supported by your sample data. As a mnemonic device, keep in mind that the null must be removed when the p-value is low.

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