In 2-3 paragraph: Discuss the importance of statistics and level of measurement as it relates to the research process -What does inferential statistics tell you as a reader/consumer of research? -What

Required Video LINK 1

https://www.youtube.com/watch?v=dX6m1aImJV0

Required Video LINK 2

https://www.youtube.com/watch?v=7aHI_DCOgmM

1. Quiz question)

1. Discussion Question:

In the first video E. O. Wilson talks about an artificially constructed and genetically-synthesized "bacteria" that has been created in a laboratory as a utterly new species and that is consequently "alive." Do you really think that it is actually alive? Before you answer this question, consider the following two points.

1. Point One: As any biologist knows, if you are viewing two one-celled protozoa under a microscope and one suddenly dies, even though materially and chemically and genetically, at that instant, they are identical, nevertheless one is infinitely different from the other since it is dead and the other is alive, and no amount of ingenuity, even piled up for century after century, on the part of experimental biologists, can ever resurrect that dead protozoan back to life. Most biologists agree, it simply wont happen.

2. Point Two: As any biologist knows, after millions of years of amino acids evolving into bigger and bigger clumps, apparently one such random clump was suddenly galvanized (by a comet or by a massive lightning stroke, or by God knows what) into an alive being. Isn't it rather  presumptuous of us to think that we can artificially reproduce such an ageless, endless, wholly unrepeatable miracle of self-organization, self-balancing of metabolism, and especially self-motion, that is Life Itself, simply by the tiny computerized twist of a nano-knife?

1. CASE STUDY