## 01-08: What is statistics?

<embed src="/02_what_is_stats.pdf" width="100%" height="600px" />


```{topic} References
- Breiman, L. (2010). Statistical Modeling: The Two Cultures. Statistical Science: A Review Journal of the Institute of Mathematical Statistics, 16, 199–215.[PDF](https://paperpile.com/shared/s~nX2AUFvRRCEp2sYIEnhbg)
- Bzdok, D. (2017). Classical Statistics and Statistical Learning in Imaging Neuroscience. Frontiers in Neuroscience, 11, 102–123. [PDF](https://paperpile.com/shared/suk3QKpLYQUuQYlRT3bNOSg)
- Bzdok, D., & Ioannidis, J. P. A. (2019). Exploration, Inference, and Prediction in Neuroscience and Biomedicine. Trends in Neurosciences, 42(4), 251–262. [PDF](https://paperpile.com/shared/sZ~MovtCPRGiA0OdpskQf9A)
- Cumming, G. (2013). The New Statistics: Why and How. Psychological Science, 25(1), 7–29. [PDF](https://paperpile.com/shared/sGEWMc5~YRY2Pu86xHMurIw)
- Gelman, A., & Vehtari, A. (2021). What are the most important statistical ideas of the past 50 years? Journal of the American Statistical Association, 116(536), 2087–2097. [PDF](https://paperpile.com/shared/s1CMiyZo_QCOiR2ACkXIELA)
- Sharpe, D. (2013). Why the resistance to statistical innovations? Bridging the communication gap. Psychological Methods, 18(4), 572–582. [PDF](https://paperpile.com/shared/s6v3eWzuVRJ2yAZlJes9J1Q)
- Tong, C. (2019). Statistical inference enables bad science; Statistical thinking enables good science. The American Statistician, 73(sup1), 246–261. [PDF](https://paperpile.com/shared/sHSzZMGSSQImY405V4NDU_w)
```