Let’s talk about STATS, baby! Let’s talk about mu and p! Let’s talk about all the good things and the bad things math can be!

DON’T RUN AWAY. Yes - we’re talking about statistics. Yes - it is kinda confusing and also pretty boring. BUT IT’S IMPORTANT! Without statistics, science is NOTHING! So we’ll respect it (for today’s episode, at least!)

Sources:

1. Marshall, G. and Jonker, L., An introduction to descriptive statistics: A review and practical guide. (2010). Radiography. Link: https://www.sciencedirect.com/science/article/pii/S1078817410000027?casa_token=hMK8iYJ54kIAAAAA:kgZmt-fzeM6XlJzboKBEKoHotzPfuh1QMI0V9y0-kXB2jjcqk2k__Qck_nNfP9pHv_B3QY8k9g

2. Emmert-Streib, F. and Dehmer, M., Understanding Statistical Hypothesis Testing: The Logical of Statistical Inference. (2019). Machine Learning & Knowledge Extraction. Link: https://www.mdpi.com/2504-4990/1/3/54

3. Khan Academy - Link: https://www.khanacademy.org/math/statistics-probability/modeling-distributions-of-data/normal-distributions-library/a/normal-distributions-review

4. Statology: Two Sample T-test - Link: https://www.statology.org/two-sample-t-test/

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