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Flow Chart For Selecting Commonly Used Statistical Tests

Statistical Tests

Statistics is a crucial aspect of research, and statistical tests are essential tools for analyzing data. However, selecting the appropriate statistical test can be a daunting task for researchers. It requires a good understanding of the research question, the type of data, and the assumptions underlying different statistical tests. This article provides a flow chart that can help researchers select commonly used statistical tests for different research scenarios.

Step 1: Identify the Research Question

Research Question

The first step in selecting a statistical test is to identify the research question. The research question determines the type of data that needs to be collected and analyzed. The research question can be descriptive, comparative, or relational.

Step 2: Identify the Type of Data

Type Of Data

The second step is to identify the type of data. Data can be categorical or continuous. Categorical data can be nominal or ordinal, whereas continuous data can be interval or ratio.

Step 3: Check for Assumptions

Assumptions

Before conducting a statistical test, it is essential to check for assumptions. Different statistical tests have different assumptions, such as normality, homogeneity of variance, and independence. Violating these assumptions can lead to inaccurate results.

Step 4: Select the Statistical Test

Statistical Test

Based on the research question, type of data, and assumptions, the appropriate statistical test can be selected. The flow chart below provides a guide for selecting commonly used statistical tests for different research scenarios.

Flow Chart For Selecting Statistical Tests

Conclusion

Choosing the right statistical test is crucial in ensuring accurate and reliable results in research. The flow chart presented in this article can help researchers select commonly used statistical tests based on their research question, type of data, and assumptions. However, it is essential to note that the flow chart is only a guide, and researchers should consult with a statistician or seek further guidance if they are unsure about the appropriate statistical test to use.

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