Watch a demonstration of how to calculate an f-statistic for use in a hypothesis test. In addition, a presentation on finding critical f-scores to compare to the calculated f-statistic.
So far, we've been able to calculate our sum of squares,…our sum of squares within,…and our sum of squares between.…We also found the relationship between these three values.…Our sum of squares is the sum of the squares within,…and the squares between.…The next, and perhaps obvious question would be…so, what can we do with this?…Well, we can start to test our data set.…Presently, it looks like ComMobile is providing…better service than its competitors.…
And it looks like Air Mobile is providing the worst service.…I'm simply basing this off of their mean values.…The question is, is it possible that…these data values happen by chance…and that perhaps the services are equal?…In other words, perhaps if the entire population…of mobile service users got to try all four companies…we would find that there really is not a difference…between these companies.…So, if we wanted to establish a hypothesis test,…we would begin by stating our hypotheses.…
Here's the nice thing about ANOVA:…the null hypothesis is always the same.…
- 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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