Any use of the word 'analysis' is meaningless unless and until you clearly state your question that you want to get answered.
Only if you have a right question you could analyze your data , and your analysis could help you to get the answer to your question. However you will not get the meaningful answer if your question is wrong, or your data do not contain the right information for answering your question. This is typical if data are collected just because they are available without a pre-planned data collection procedure.
Next, getting simply a descriptive statistical summary such as data mean and standard deviation is NOT the same as data analysis. It's just reporting descriptive statistical data summary.
The bottom line: always start with the question you want to get answered using data (beyond the simple descriptive statistical data summary), and only then the best statistical method or test can be recommended.
You should specify your question in terms of which kind of data you want to statistically analyze and for what objective that you want to achieve.
Best regards
It depends largely on what type of data you have. If the measured variable is continuous ANOVA methods are useful. Categorical variables are often analyzed using chi-square test. Regression analysis is another popular method in general. Excel can do descriptive statistics, simple ANOVA and t-tests of signifiance. SPSS and JMP can do more complex analysis.
Hi,
Actually you need to state what kind of analysis you needed to be done. There are so many software and methods.If you clearly specify we can help.
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