There's often some confusion between sample and population difference. Understand the difference between these two entities in research design.
- [Instructor] All right, imagine this.…You've been tasked to figure out…the average height of women worldwide.…Think about that for a second.…Seems like a fairly unreasonable task.…Women from which geographic location?…What age groups?…Which ethnicity or race?…Undoubtedly these factors make a difference.…And it's a lot of data collection.…It's almost overwhelming to think about.…But it might be a bit easier than you might think.…It certainly is not as painful as figuring out…the height of all the women in the world…and then dividing by the total number of women.…
That would just be too difficult.…Look at it this way.…All the women in the world…are considered part of a population.…It's your job to meaningfully pick…a smaller sample of women from this population…to take your measurements.…So you could theoretically pull a sample of 100 women…whom you believe to probably represent…the average woman's height.…This sample would include diverse ages, races,…ethnicities, geographical locations, etc.…
Now you have to make two assumptions.…
- 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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