252y0811 - On-line Web Courses
... Solution: Since z has the standardized Normal distribution and since our alternative hypothesis is H 1 : p 16 , we are worried about p being too large, so we have a right-sided test. With a 95% confidence level and a 1-sided test, we use z 1.645 and test our computed value of z . Make a diagram ...
... Solution: Since z has the standardized Normal distribution and since our alternative hypothesis is H 1 : p 16 , we are worried about p being too large, so we have a right-sided test. With a 95% confidence level and a 1-sided test, we use z 1.645 and test our computed value of z . Make a diagram ...
Simulations in R Examples
... # Create vectors to receive results covers<-NULL lower<-NULL upper<-NULL yplot<-NULL xplot<-NULL # Simulation loop for(i in 1:M) { x<-rnorm(n,m,s) # Generate data ci<-t.test(x, conf.level=a) # Obtain confidence interval loweri<-ci$conf.int[1] # Extract lower confidence limit upperi<-ci$conf.int[2] # ...
... # Create vectors to receive results covers<-NULL lower<-NULL upper<-NULL yplot<-NULL xplot<-NULL # Simulation loop for(i in 1:M) { x<-rnorm(n,m,s) # Generate data ci<-t.test(x, conf.level=a) # Obtain confidence interval loweri<-ci$conf.int[1] # Extract lower confidence limit upperi<-ci$conf.int[2] # ...
Answers to Exercises
... Residual standard error: 3.216 on 97 degrees of freedom Multiple R-Squared: 0.5786, Adjusted R-squared: 0.5699 F-statistic: 66.58 on 2 and 97 DF, p-value: < 2.2e-16 plot(dat$yrs,dat$happy,xlab="Years of Education",ylab="Happiness", main="What's the relationship between \nyears of education and happi ...
... Residual standard error: 3.216 on 97 degrees of freedom Multiple R-Squared: 0.5786, Adjusted R-squared: 0.5699 F-statistic: 66.58 on 2 and 97 DF, p-value: < 2.2e-16 plot(dat$yrs,dat$happy,xlab="Years of Education",ylab="Happiness", main="What's the relationship between \nyears of education and happi ...
Session 2.4 - UBC Department of Statistics
... null: there is no difference in the proportions between low-birth rate and smokeless tobacco use (i.e. the outcomes are independent and there is no association) alternative: there is a difference in the proportions between low-birth rate and smokeless tobacco use (i.e. the outcomes are dependent and ...
... null: there is no difference in the proportions between low-birth rate and smokeless tobacco use (i.e. the outcomes are independent and there is no association) alternative: there is a difference in the proportions between low-birth rate and smokeless tobacco use (i.e. the outcomes are dependent and ...
Lecture9
... Note that if the population standard deviation was assumed to be known as 1.5, rather than estimated from the sample, a z test would be appropriate. In this case, the value of the z statistic would be: ...
... Note that if the population standard deviation was assumed to be known as 1.5, rather than estimated from the sample, a z test would be appropriate. In this case, the value of the z statistic would be: ...
Chapter 09
... • D0 = p1 – p2 is the claimed or actual difference between the population proportions • D0 is a number whose value varies depending on the situation ...
... • D0 = p1 – p2 is the claimed or actual difference between the population proportions • D0 is a number whose value varies depending on the situation ...
JMP® Simulation-Based Empirical Determination of Robust Scale Estimator and Comparison of Outlier Discrimination Performance
... A robust scale estimator based on an empirically-derived correction factor (ECF) is proposed when the sample median is more efficient than the mean. ECF values for simulated samples of varying size (n=2 to 80) drawn from the standard normal distribution are obtained in SAS JMP® using the distributio ...
... A robust scale estimator based on an empirically-derived correction factor (ECF) is proposed when the sample median is more efficient than the mean. ECF values for simulated samples of varying size (n=2 to 80) drawn from the standard normal distribution are obtained in SAS JMP® using the distributio ...
