Sample sizes affect the statistic that you use for testing. Learn the differences in this video.
- [Instructor] So now we know…that we can construct a confidence interval…using properties of the normal distribution…such as z values…and normal distribution rules of thumb.…But until now,…we've been talking about confidence intervals…under the assumption that all samples were large.…Conventionally,…a large sample size is greater than that of 30 observations.…So what happens if we have less than 30 observations?…Is there a way to estimate the population mean…from the sample with just a few data points?…Can we still create a confidence interval?…It depends.…
If we don't know anything about the underlying population,…we probably can't create a confidence interval…with fewer than 30 data points…because the properties of the central limit theorem…may not hold.…However, if these data points are normally distributed,…then we might be okay.…Remember we have a z-statistic…for more than 30 observations.…In the same way,…we have a t-statistic for less than 30 observations.…A t-distribution looks somewhat like a z-distribution,…
- Quantitative vs. qualitative analysis
- Sample size considerations
- Normal distribution
- Estimating the population mean
- One-sample t-test
- Paired-sample t-test
- One-way and two-way ANOVA
- Repeated measure ANOVA
Skill Level Beginner
1. General Notions about Science and Research
2. Quantitative Research Fundamentals
3. One-Sample T-Test
4. Paired-Samples T-Test
5. Balanced One-Way ANOVA
6. Two-Way ANOVA
7. Repeated Measures ANOVA
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.