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What are the easy mistakes to avoid when analyzing data?

1. Not collecting enough data: It is important to collect enough data before you start your analysis. If you have little data, you cannot consider all the relevant factors and it is difficult to draw conclusions.

2. Using inappropriate data: It is important to use the right data for the analysis. If one uses the wrong data, the conclusions one draws may not be accurate.

3. Not considering all variables: One should consider all variables that are relevant to the analysis. If you omit important variables, the conclusions you draw may be inaccurate.

4. Not questioning expectations: one should question the expectations one has for the analysis before starting the analysis. If one focuses too much on a particular expectation, one may miss important variables.

5. Not using the right methods: It is important to use the right analysis methods to get the right results. If one uses the wrong methods, the results may be inaccurate.