File - Jason Morton ePortfolio
... summarized by reporting either the number of individuals or percentages of individuals falling into each category. Quantitative data can be analyzed by describing where the center of the data set is in various ways, with the mean and median being examples. ...
... summarized by reporting either the number of individuals or percentages of individuals falling into each category. Quantitative data can be analyzed by describing where the center of the data set is in various ways, with the mean and median being examples. ...
mean? proportion? relationship? • Mean: one population? two populations?
... • Proportion: one population? two populations? ∗ One population: z-procedure if we want to estimate p by confidence interval, then how large is our sample? both number of successes and number of failures are at least 15 → large-sample C.I. number of uccesses or number of failures is less than 15 bu ...
... • Proportion: one population? two populations? ∗ One population: z-procedure if we want to estimate p by confidence interval, then how large is our sample? both number of successes and number of failures are at least 15 → large-sample C.I. number of uccesses or number of failures is less than 15 bu ...
Econ 299 Chapter 06
... This means that on average, OLS estimation will estimate the correct coefficients. Definition: If the expected value of an estimator is equal to the parameter that it is being used to estimate, the estimator is unbiased. ...
... This means that on average, OLS estimation will estimate the correct coefficients. Definition: If the expected value of an estimator is equal to the parameter that it is being used to estimate, the estimator is unbiased. ...
Riemann Sums and Integrals Riemann Sums
... where ∆x = , xi = a + i∆x, and xi−1 ≤ x∗i ≤ xi . n ∗ But what is this xi ? Once we have chopped our interval [a, b] into n rectangles of equal width (∆x = (b − a)/n), our ith rectangle lies on top of the sub-interval [xi−1 ,xi ]. x∗i represents any point in the interval [xi−1 ,xi ]. By using this x∗ ...
... where ∆x = , xi = a + i∆x, and xi−1 ≤ x∗i ≤ xi . n ∗ But what is this xi ? Once we have chopped our interval [a, b] into n rectangles of equal width (∆x = (b − a)/n), our ith rectangle lies on top of the sub-interval [xi−1 ,xi ]. x∗i represents any point in the interval [xi−1 ,xi ]. By using this x∗ ...
ORF 245 – Fundamentals of Engineering Statistics
... drivers should be required to take a special course on how to drive on driveways, but not older drivers? Explain. Though statistically speaking younger Floridians do have a higher rate of driveway accidents than older ones, practically speaking the difference is too small (0.261%) to justify differe ...
... drivers should be required to take a special course on how to drive on driveways, but not older drivers? Explain. Though statistically speaking younger Floridians do have a higher rate of driveway accidents than older ones, practically speaking the difference is too small (0.261%) to justify differe ...
Intermediate Applied Statistics STAT 460
... One possible answer is to control individual type I error risk for planned comparisons (a few comparisons which were of special interest as you were planning the study) and control experimentwide type I error risk for unplanned comparisons (those you are making after the study has been done just f ...
... One possible answer is to control individual type I error risk for planned comparisons (a few comparisons which were of special interest as you were planning the study) and control experimentwide type I error risk for unplanned comparisons (those you are making after the study has been done just f ...
Lecture 4
... Any p-value less than .01667 would be declared significant. In this case the None vs Slow and None vs Fast comparisons are significant. This seems to support the argument that music makes a difference but there is no difference between slow and fast music. ...
... Any p-value less than .01667 would be declared significant. In this case the None vs Slow and None vs Fast comparisons are significant. This seems to support the argument that music makes a difference but there is no difference between slow and fast music. ...
The Right Questions about Statistics full set handouts
... A confidence interval is designed to give a RANGE of possible answers for a “WHAT’S THE NUMBER?” question, using DATA from a sample. This is how to find a confidence interval: Have a “what’s the number?” question. Collect data. Choose a matching hypothesis test. Work backwards to calculate t ...
... A confidence interval is designed to give a RANGE of possible answers for a “WHAT’S THE NUMBER?” question, using DATA from a sample. This is how to find a confidence interval: Have a “what’s the number?” question. Collect data. Choose a matching hypothesis test. Work backwards to calculate t ...
March 26, 2013 Palmetto Lecture on Comparative Inference
... Theorem 1 suggests that the Bayes estimator will be superior to θb unless the Bayesian statistician miscalculates on two fronts simultaneously. If a Bayesian is both misguided (with a poorly centered prior) and stubborn (with a prior that is highly concentrated on the prior guess), his estimation pe ...
... Theorem 1 suggests that the Bayes estimator will be superior to θb unless the Bayesian statistician miscalculates on two fronts simultaneously. If a Bayesian is both misguided (with a poorly centered prior) and stubborn (with a prior that is highly concentrated on the prior guess), his estimation pe ...