STATISTICA provides many options to edit the appearance of your graphs. This example explains how to modify your point markers. Read More »
STATISTICA provides many options to edit the appearance of your graphs. This example explains how to modify your point markers.
Read More »
STATISTICA contains several options for exporting graphs to other applications. Read More »
STATISTICA contains several options for exporting graphs to other applications.
STATISTICA can export data files to numerous Windows and non-Windows applications using the file export facilities. Read More »
STATISTICA can export data files to numerous Windows and non-Windows applications using the file export facilities.
There are times when the relationship between dependent and independent variables is not linear. In these cases it is useful to include polynomial terms to help explain the variance in our dependent variable. The polynomial terms are treated as main effects in our model, so an estimate and p-value will be calculated, and from these results we can determine if the curvature in the data that we see is statistically significant. If we use the Multiple Regression module, the only way to include squared terms (and any order or interaction terms) is to build them in separate variable columns in the data and then include them in the regression. However, if we... Read More »
There are times when the relationship between dependent and independent variables is not linear. In these cases it is useful to include polynomial terms to help explain the variance in our dependent variable. The polynomial terms are treated as main effects in our model, so an estimate and p-value will be calculated, and from these results we can determine if the curvature in the data that we see is statistically significant. If we use the Multiple Regression module, the only way to include squared terms (and any order or interaction terms) is to build them in separate variable columns in the data and then include them in the regression. However, if we...
I recently came across Hans Rosling's 2007 TED talk on poverty and statistics. (Video is embedded below.) The talk is entertaining and thought provoking. Dr Rosling founded a non-profit organization called GapMinder. Their goal is to be: “fact tank that promotes a fact based world view" Gapminder is a good source for free Read More »
I recently came across Hans Rosling's 2007 TED talk on poverty and statistics. (Video is embedded below.) The talk is entertaining and thought provoking.
Dr Rosling founded a non-profit organization called GapMinder. Their goal is to be:
“fact tank that promotes a fact based world view"
Gapminder is a good source for free
STATISTICA 6 was released it in 2001. It is not compatible with Windows Vista or Windows 7. You will need to upgrade to STATISTICA 10. StatSoft is offering an upgrade discount for past customers. And you may find the new features in STATISTICA 7, STATISTICA 8, STATISTICA 9 and STATISTICA10 to be useful for your tasks. Read More »
STATISTICA 6 was released it in 2001.
It is not compatible with Windows Vista or Windows 7. You will need to upgrade to STATISTICA 10.
StatSoft is offering an upgrade discount for past customers. And you may find the new features in STATISTICA 7, STATISTICA 8, STATISTICA 9 and STATISTICA10 to be useful for your tasks.
A customer asked recently how to create a random subset. And I thought this would be a good topic for a blog. Let us pretend... We want to develop a credit scoring model Read More »
A customer asked recently how to create a random subset. And I thought this would be a good topic for a blog.
Let us pretend...
We want to develop a credit scoring model
We recently received a question from an Electronic Statistics Textbook visitor. The visitor asked: Read More »
We recently received a question from an Electronic Statistics Textbook visitor. The visitor asked:
A random factor is a variable of interest for which we selected only a subset of the population levels to test, but which we still want our results to be applicable to all levels possible. For example, suppose that in a factory we sample products from 5 workers, even though we have 100 workers total. Since we want our results to be generalizable to all workers in the factory, not just the 5 we selected, we would treat this variable as a random factor. When a process involves random factors, a common analysis is to calculate the variability in the overall process that is due to these random factors. To quantify this number, we will compute Components of Variance. Following is a guide on how to compute the Components of Variance in STATISTICA: Read More »
A random factor is a variable of interest for which we selected only a subset of the population levels to test, but which we still want our results to be applicable to all levels possible. For example, suppose that in a factory we sample products from 5 workers, even though we have 100 workers total. Since we want our results to be generalizable to all workers in the factory, not just the 5 we selected, we would treat this variable as a random factor. When a process involves random factors, a common analysis is to calculate the variability in the overall process that is due to these random factors. To quantify this number, we will compute Components of Variance.
Following is a guide on how to compute the Components of Variance in STATISTICA:
STATISTICA projects provide the means to save your work and return to it later. A project is a "snapshot" of STATISTICA at the time it was saved, i.e., the tool saves your input data, results (graphs, spreadsheets, etc.), analyses, and/or Data Miner workspaces that are currently open into a single project. Upon opening the project, all of these items will be restored exactly as they were when the project was saved. This tool is a time saver, as it allows you to continue the analysis instead of starting it over again. Read More »
STATISTICA projects provide the means to save your work and return to it later. A project is a "snapshot" of STATISTICA at the time it was saved, i.e., the tool saves your input data, results (graphs, spreadsheets, etc.), analyses, and/or Data Miner workspaces that are currently open into a single project. Upon opening the project, all of these items will be restored exactly as they were when the project was saved. This tool is a time saver, as it allows you to continue the analysis instead of starting it over again.