Suppose ya longitudinal study measures how much lung function declines as a female gets older. One measure of lung function is forced expiratory volume in 1 second (FEV1), which is the amount of air you can exhale in 1 second. FEV1 is measured in liters per second. As part of planning your longitudinal study, you perform a cross-sectional pilot study to estimate how much FEV1 declines as females age by measuring FEV1 in a random sample of 200 females of various ages from 25 to 95

Question 1: Which scenario below best describes the study design?

1. One group with one outcome (or variable of interest).
2. Two dependent or paired groups with one outcome (or one variable of interest).
3. Two independent groups with one outcome (or one variable of interest).
4. One group with two different outcomes (or two different variables of interest).

Question 2: State in words an appropriate null and alternative hypothesis

Question 3: What is an appropriate statistical test to test the null hypothesis in the prior question and estimate how much FEV₁declines as females age? (One-sample test for a proportion; Paired t-test; Two-sample test for proportions; Chi-square test; One-sample t-test; Two-sample t-test; Correlation (either Pearson or Spearman rank correlation); Linear regression; None of the above choices are appropriate to use)