I love StatsQuest and have watched quite some videos from it. After a while, I lose track of which one I have watched and as you know usually Josh will ask you to make sure to watch some pre-requisites. Here I am documenting what I have watched and try to summarize each with just one (ok a few) sentence. Today we will start with the fundamentals.
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Histograms They are geneticists! They are statisticians with (my) domain knowledge!
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The Main Ideas behind Probability Distributions Dag? Not Bam?
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The Normal Distribution The normal curves are drawn such that 95% of the measurements fall between +/- 2 sd around the mean.
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The mean, th emedian and the mode. If it’s normal they are the same.
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The Exponential Distribution Used when estimating time between two events. I never thought about exponential distribution in this sense. For me it is the relationship between time(x) and population size(y). If a population starts at 100 individuals (y0 = 100) and has a growth rate of λ=0.05 (5% per unit of time), the population at time t would be: y(t)=100e^0.05t. But if you think about it, whenever they give examples of exponential distribution, it goes down along the x-axis, instead of up (time-population)!