Section 9.3 T-test, Matched Pairs T-test
... As with proportions, there is a link between a two-sided test at significance level α and a 100(1 – α)% confidence interval for a population mean µ. For the pineapples, the two-sided test at α =0.05 rejects H0: µ = 31 in favor of Ha: µ ≠ 31. The corresponding 95% confidence interval does not include ...
... As with proportions, there is a link between a two-sided test at significance level α and a 100(1 – α)% confidence interval for a population mean µ. For the pineapples, the two-sided test at α =0.05 rejects H0: µ = 31 in favor of Ha: µ ≠ 31. The corresponding 95% confidence interval does not include ...
Math494 Handout
... where a is an arbitrary number and 0 < c < 1. Estimators of the form (2.5) and (2.8) are called shrinkage estimators. While shrinkage estimators are biased unless E(Xi ) = µ = a, the calculation above shows that they have smaller risk if µ2 < 2σ 2 for (2.5) or (µ − a)2 < ((1 + c)/(1 − c))(σ 2 /n) fo ...
... where a is an arbitrary number and 0 < c < 1. Estimators of the form (2.5) and (2.8) are called shrinkage estimators. While shrinkage estimators are biased unless E(Xi ) = µ = a, the calculation above shows that they have smaller risk if µ2 < 2σ 2 for (2.5) or (µ − a)2 < ((1 + c)/(1 − c))(σ 2 /n) fo ...
tps5e_Ch1_3
... As you learn more about statistics, you will be asked to solve more complex problems which don’t specify what to do. Here is a four-step process you can follow. How to Organize a Statistical Problem: A Four-Step Process •State: What’s the question that you’re trying to answer? •Plan: How will you go ...
... As you learn more about statistics, you will be asked to solve more complex problems which don’t specify what to do. Here is a four-step process you can follow. How to Organize a Statistical Problem: A Four-Step Process •State: What’s the question that you’re trying to answer? •Plan: How will you go ...
Humanities Statistics—Hypotheses
... No “significance hunting” Hunting among dozens of variables is likely to turn up some extreme results. Multiple tests need to be analyzed especially if statistical significance is to be claimed. Looking at many variables can be useful in early stages of investigation—before hypothesis testing. Power ...
... No “significance hunting” Hunting among dozens of variables is likely to turn up some extreme results. Multiple tests need to be analyzed especially if statistical significance is to be claimed. Looking at many variables can be useful in early stages of investigation—before hypothesis testing. Power ...
