G*Power Homework Help

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G*power is a statistical tool to analyze the statistical power. This software is free and calculates the statistical power of statistical tests. The tests range from chi-square tests, F-tests, t-tests to others. For better understanding, refer G*Power Homework Help. It is essential that the user recognizes which context the test in use is for. For instance whether it is for one way ANOVA or multi way ANOVA. The user also needs to be aware of multiple variables. A minimum of four or five variables are a must for analysis. Like the number of observations, effect size, significance level, power etc. the detailed account under the topic can be lucid. For further information, go through G*Power Homework Help.

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Types of power analysis under G*Power

1. A priori analysis: The required sample size is computed as a function of user specified values as per the significance level α, required statistical power 1-β and the population effect size to be found out. For more knowledge, go through G*Power Homework Help.
2. Criterion analysis: The needed significance level is calculated as the function of power, population effect size and sample size. For better understanding, refer G*Power Homework Help.
3. Post hoc analysis: Statistical power is calculated as the function of significance level, population effect size, and sample size. For detailed account on the topic, study G*Power Homework Help.
4. Sensitivity analysis: The population effect size that is sought is calculated as a function of significance level, sample size and statistical power.
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