In the past, I've used fake data based on real research to create stats class examples. Baby names, NICUs, and paired t-test. Pain, surgical recovery, and ANOVA.
Today, I've decided to use fake data and fake research to create a real example for teaching one-sample t-test. It uses this research report from The Onion:
In this press release, the baby scientists claim that the belief that a baby could only smash four peas into their ear canal were false. Based upon new research recommendations, that number has been revised to six. Which sure sounds like a one-sample t-test to me. Four is the mu assumed true based upon previous baby ear research. And the sample data had a mean of 6, and this was statistically significant.
Here is some dummy data that I created that replicates these findings, when mu/test value is set to 4. :
5.00
6.00
7.00
6.00
5.00
6.00
6.00
5.00
7.00
6.00
7.00
Why, yes, I do think I'm pretty clever.
Today, I've decided to use fake data and fake research to create a real example for teaching one-sample t-test. It uses this research report from The Onion:
 |
| https://www.theonion.com/toddler-scientists-finally-determine-number-of-peas-tha-1820347088 |
In this press release, the baby scientists claim that the belief that a baby could only smash four peas into their ear canal were false. Based upon new research recommendations, that number has been revised to six. Which sure sounds like a one-sample t-test to me. Four is the mu assumed true based upon previous baby ear research. And the sample data had a mean of 6, and this was statistically significant.
Here is some dummy data that I created that replicates these findings, when mu/test value is set to 4. :
5.00
6.00
7.00
6.00
5.00
6.00
6.00
5.00
7.00
6.00
7.00
Why, yes, I do think I'm pretty clever.