Watch a continuation of the example from the previous video. For the same data, a demonstration of the calculation of the sum of squares within (SSW) and the sum of squares between (SSB).
- So far, for our mobile service data,…ANOVA has allowed us to calculate the level of variance…between all 16 data values in each complete data set…and the grand mean of the entire set,…but if we look at our table of data,…we can see that while there is variance…between all the data points and the grand mean,…there is also variance between the data values…for each company and the mean for each mean score…for each company.…
This type of variance is called the variance within.…So, let's find the variance…within the individual data values…for Air Mobile and the mean score…for Air Mobile which is 4.0.…Just as before, we will add up our squares.…The difference this time is that instead…of taking our data value, five,…and subtracting the grand mean,…here, we will subtract the mean…for Air Mobile which is four.…We do the same for the other three data values…under Air Mobile.…
If we add all of our squares,…we get a sum of squares within…for our Air Mobile data of four…but I don't want to do this for only Air Mobile.…I'm going to do this for all four companies.…
- Working with small sample sizes
- Using t-statistic vs. z-statistic
- Calculating confidence intervals with t-scores
- Comparing two populations (proportions)
- Comparing two population means
- Chi-square testing
- ANOVA testing
- Regression testing
Skill Level Advanced
1. The Statistics Series: A Look Back and Forward
2. Small Sample Sizes
T-statistic vs. z-statistic3m 44s
3. Comparing Two Populations (Proportions)
4. Comparing Two Populations (Means)
6. ANOVA: Analysis of Variance
7. Introduction to Regression
Next steps1m 40s
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