06/07/06

1. Difficult - So p hat is an estimate of p just as X bar is an estimate of mu? (and both are that way because they both are for samples and not the entire population... right?)
2. Reflective - We definately dealt with "p hat" in high school statistics (I was in regular, not AP). We also calculated standard error... except she just gave us the eqn, some numbers and we plugged and chugged.

06/05/06

12.7.2 (part)

1. Difficult - Why is Xn considered the "unbaised" estimator of mu. I understand how it can get close to mu but why is it "unbaised." If we had bad luck, couldn't we have randomly picked a very skewed sample... which doesn't accurately represent the population? What would be "baised" then?

2. Reflective - We could probably use the standard error in Chemistry. (Though we didn't use this exact calc in labs... we did do the whole "5.433 +/- 0.001" thing.)

06/02/06

1. Difficult - It is difficult to find anything to say because this section is pretty straight forward. I will note something interesting though, I never really knew probability and statistics were intertwined. (Like in High School they seem very separate. Most likely because the mathematics isn't high enough yet to explain how they connect.)... I think I can tell by the prob. function graphs and the norm. dist graphs that those are what are used in probability.

Oh the subk notations are to denote each RV right x1, x2, x3 (when used in Ex 1 and 2 in the summations)
2. Reflective - I think I have seen the S sub n notation before in stat's class for variance... I think.