From the course: Statistics Foundations 4: Advanced Topics
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Sum of squares within (SSW) and sum of squares between (SSB)
From the course: Statistics Foundations 4: Advanced Topics
Sum of squares within (SSW) and sum of squares between (SSB)
- So far within our consumer survey data relating to our four mobile service providers we used ANOVA to calculate the level of variance between our 16 individual data points and our grand mean, the mean of all 16 data points. We measured that using our total sum of squares, SST, and we found it to be 76. Let's continue to look at variance, but now instead of the variance between each data point and the grand mean, now I want to look at the variance within each individual company's data set. We'll start with Air Mobile's four data points and find the variance between each data point and the mean for only Air Mobile. We'll then do this for the other companies too. So let's measure the variance within each data set. Remember, Air Mobile's mean score was three. Similar to what we saw in the prior video, we take the first data point in the Air Mobile data, four. We then calculate four, our data point, minus three, the mean for…
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