Learn how to use degrees of freedom and t-score tables to identify your critical t-score.
- Since T-distributions rely on…the standard deviation of a sample,…instead of the standard deviation of the population,…there is a greater level of uncertainty…when creating confidence intervals.…As a result, the z-scores we gather…from a z-distribution chart are not sufficient.…Instead, we need to utilize t-distribution charts.…Yes, you heard me right.…There's not one single t-distribution chart,…but rather multiple charts.…Remember, the curve associated with a t-distribution…is dependent on the sample size.…
The smaller the sample size,…the flatter the distribution curve,…and the greater the uncertainty.…The larger the sample size,…the closer the curve gets to the normal distribution.…That is why for each sample size,…we need a different t-score distribution table.…Just in case you forgot, here's a snapshot…of just one part of a z-score table.…So imagine having a different table…for each unique sample size.…
Yep, that would be a lot of really big tables.…Most of the time, however,…we're looking for the most common confidence intervals.…
- 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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