Review how variances within and between enable inferences about the populations in ANOVA and MANOVA.
- [Instructor] Let's take a look at the…Analysis Of Variance, or ANOVA.…You use the Analysis Of Variance to decide whether the…means of two or more different groups are the same.…For example, you might measure the weight of 20 men,…and 20 women, and then calculate the average weight…of each of those two groups.…The average weights of the two groups…are likely to be different.…But what about the average weights of the populations…of men and women, that you took your two samples from?…That's the difference that you're probably interested in,…not just the difference between the two samples.…
Probability can help you decide whether the mean weights…are different in the populations of men and women.…And one of the ways of going about that,…is to use the Analysis of Variance.…We can do that in Excel, by way of the Data Analysis add-in,…which is in the Analysis group,…on the Data tab on the Ribbon.…So, just click it, and choose ANOVA Single Factor,…from the list box.…And here's our input range.…Notice that I'm including the names of the two groups,…
In this course, Conrad Carlberg explains how to carry out cluster analysis and principal components analysis using Microsoft Excel, which tends to show more clearly what's going on in the analysis. Then he explains how to carry out the same analysis using R, the open-source statistical computing software, which is faster and richer in analysis options than Excel. Plus, he walks through how to merge the results of cluster analysis and factor analysis to help you break down a few underlying factors according to individuals' membership in just a few clusters.
- Reviewing the problems created by an overabundance of data
- Understanding the rationale for clustering and principal components analysis
- Using Excel to extract principal components
- Using R to extract principal components
- Using R for cluster analysis
- Using Excel for cluster analysis
- Setting up confusion tables in Excel
- Using cluster analysis and factor analysis in concert