4:20 .10 LTE Take Quiz Exit Question 1 3 pts 1. Which distribution would you use to create a confidence interval for a parameter? O A sample distribution A sampling distribution O A population distribution Question 2 3 pts 2. We know that the sample size influences the size of the standard error, and the size of the standard error affects the width of the confidence interval. If we increase the sample size in a study, how does it affect the width of the 95% confidence interval around a parameter? (Hint: the 95% confidence interval could be approximately calculated as sample estimate + 2*standard error) O It won't change the width of the confidence interval O It would increase your level of confidence.4:20 .Of LTE D Take Quiz Exit Question 2 3 pts 2. We know that the sample size influences the size of the standard error, and the size of the standard error affects the width of the confidence interval. If we increase the sample size in a study, how does it affect the width of the 95% confidence interval around a parameter? (Hint: the 95% confidence interval could be approximately calculated as sample estimate + 2*standard error) O It won't change the width of the confidence interval O It would increase your level of confidence. O It would make the confidence interval wider. O It would make the confidence interval narrower.4:21 .10 LTE Take Quiz Exit Question 3 3 pts 3. You fit a regression model, then construct a 95% confidence interval for By. If the confidence interval includes O, what does this tell us? It suggests we should retain the empty model. O It means that the true value of B1 is 0. It suggests we should reject the empty model and stay with the complex model. O It means that BO should not be 0. Question 4 3 pts 4. If we want more confidence by going from 95% to 99% confidence interval, how that will change the width of the confidence interval? O The confidence interval will have to be narrower The confidence interval will have to be wider4:21 .10 LTE Take Quiz Exit Question 5 3 pts 5. The best-fitting model using X to predict Y can be specified like this: Yi = bo+ b1X+ ei Which of the following is an INCORRECT ) interpretation of the 95% confidence interval for B1 in this model? 95% of all values in Y have this relationship with the variable X. We are 95% confident that the true B1 in the population falls within the interval There's a 95% chance of getting the observed sample b1 if the B1 is within the range of this confidence interval There is a 5% chance that this interval does not contain the true B1 in the population No new data to save. Last checked at 4:20pm Submit Quiz Time Elapsed: Hide Time Attempt due: May 1 at 14.- pill