Learn how to estimate the population mean by building confidence intervals around the sample mean.
- [Instructor] Let's think about the sample one more time…and how we can use it.…Remember, it's really difficult for us to get the mean…of the entire population just from gathering data.…We have to make inferences.…That's why this field is called inferential statistics.…To do that, we can assume that our sample's mean…given that we followed our rules about sampling…is a pretty good approximation of the true population's mean…but that's exactly what it is,…an approximation, an estimate.…We can't be 100% confident…that our sample mean matches that of our population.…
What we can do however is build out a confidence interval…around our sample mean.…This confidence interval…basically states how confident we are…in the range that we provide around a sample mean.…The confidence interval depends on three things,…the sample mean itself, the standard deviation…and the sample size.…For example, recall that our sample mean…for women's heights is 64 inches.…Without doing any math, we could say something like…well, we're 95% confident…
- 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
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