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1. Power Analysis
To determine the power of your study it is uncommon to take an inappropriate "one-size-fits-all" approach.
In Simple power analysis (SPA) we interpret graphs of electrical activity over time. More advanced form is the Differential power analysis (DPA) which computes intermediate values with the help of statistical analysis.
2. Sample Size
The validity of the study is determined with the help of sample size. So it is of prime importance to know the sample size.
Power is the complement of type II error, which means it is Pr( Reject the null hypothesis when it is false) i.e, a correct decision. The more the power the more better is the test.
Power Analysis Calculation
Statistical power analysis software program has many features and numerous tools to make one understand power analysis. With the help of this software tables , graphs and reports can be created. One should necessarily know the sample size and the statistical test of his study.
Types of Power Analysis
Power Analysis of:
a) One sample T test
b) Paired sample T test
c) A two independent samples T test
d) A one-way ANOVA
e) A two-way ANOVA
Exert here will help you to determine the sample size required in the study and justify it. Also you will be assisted to determine effect size, power, and significance level appropriate for the study. Conducting a power analysis depends on many factors for example power etc. We will help you out to calculate the power analysis for the appropriate problem in your dissertation