First, lets look at the free data analysis tools out there. The two main data analysis tools are Discrete Fourier Transform (DFT) and Discrete Mathematics Software (DMS). DFT is excellent for doing time series analysis and predicting future values. Due to its complexity, it is usually done by a professional. DMS on the other hand is easier to use and is available for all types of data analysis.
So, lets talk about what you should be doing with your data once you have completed your course. When you analysis the data, you want to gather all the data you can and identify relationships among the factors. For example, you might find that a factor has a high significance but that it is only used when the overall value is low. Once you have collected all the relevant data, you want to plot that relationship. For this you will need either a graphing program a data table, or a graphics program like Adobe Photoshop.
Before you begin to plot your relationship, you will want to look carefully at your data. You want to check for errors, missing values, and other inconsistencies. If any of these items are present, then you can eliminate the correlation. To do this, you should plot a line connecting all the variables that have a positive relationship. This means that they will all move together.
Doing your data analysis this way will show you what relationships exist and how reliable your data is. Once you have eliminated those relationships, you will have removed the potential bias in your results. Now that you have all your potential bias out of the equation, you will be able to do your statistical test much more effectively. And this will help you do your statistics better on paper and during the exam.
Do you find that you are having a hard time with the tests that you are performing? Then you may want to perform a secondary analysis using your data set. You can add a second variable to your data set and perform a correlation. This way you will have two sets of results. You can compare the correlation to your main result and see if there is a significant difference. However, make sure you perform this analysis after you have already checked your results with your primary data set to ensure that there is no violation of the assumptions that you made in performing your test.
Finally, do not be afraid to make your own corrections when you come across a conclusion that does not line up with your original data set. The best way to learn is by doing your tests. As long as you are careful and allow for some degree of error, you will be fine. Just make sure you document your findings so you can re-run your test later if necessary.
So do your analysis. Be sure to do it correctly and as you learn better ways to do your data analysis, you will get better at it. Just be sure to always have a couple of sets of data for your statistics class. This will allow you to check your calculations and see if you are getting optimal results when doing your data analysis do my statistics exam.
