You should concentrate on method, significance and alternative explanations when you analyse your results.Group of answer choicesTrueFalse

The best practice when you analyse and interpret your data is:

Testing to see if your hypothesis is supported.

Explanation:

When analyzing and interpreting data, the primary goal should be to test whether the data supports the research hypothesis. This involves using appropriate statistical tests to examine the relationships or differences between variables, and interpreting the results in the context of the research question. Ignoring inconsistent cases or using more powerful statistics to make the results appear stronger can lead to biased or misleading results. Similarly, while it's important to consider alternative explanations for the results, this should not be the main focus of the data analysis.