Replies to post #247126 on Biotech Values

[Mufaso]

rfj1862- I don't fully understand statistics as they are applied to study results. I would like to understand this better. I've presented below an image from the Hepion press release on their "HepQuant" table. At the bottom they have a key that shows certain values in the table are designated differently (*p < 0.05; **p < 0.01; ***p < 0.001; paired t-test, no correction for multiple comparisons §Chi-Square p < 0.05). Why are they making these distinctions? What can be made of values with no notation. In this post, I'm not so interested in in the HepQuant tables (I think Hepion is trying to hide something after listening to the cc) as much as I am in understanding better what differences in P values mean and why anyone would care. (also - at the risk of further demonstrating my lack of knowledge could you explain the use of chi square in layman's terms on % of Subs with a 2-point or greater decrease in DSI- e.g.- what is chi square and why is it used vs p value?) TIA