AutoSave OFF N218_Lab7 - Compatibility Mode Home Insert Draw Design Layout References Mailings Review N ? Tell me Share Comments AA Aa Ap AaBbCcDdE AaBbCcDdE AaBbCcDc AaBbCcDdE AaBb( , Paste B I U v ab x X ADVA v Norma No Spacing Heading 1 Heading 2 Title Styles Dictate Sensitivity Editor Pane "I The reason the equation is different based on whether or not the two groups sample size is because standard error is calculated differently (just like for a two sample t-test). When the two samples differ In sample size the variance has to be weighted to account for the difference in sample size (which is why the equation gets more complex). In class we walked through an example to compare Forced Expiratory Volume (FEV) among patients from UM Medical to the Cleveland Clinic. Let's see if FEV among the patients varies according to gender. Here is the information that you'll need: Gender Sample size (n) Mean FEV FEV Variance (sz) Females 10 3.02 1.98 Males 10 4.35 1.72 Using these data, calculate the 95% CI around the difference in the means of FEV between males versus females. Subtract the mean FEV among females from males: FEVmales - FEVfemales (which will give you the absolute difference, i.e., a positive number). You will need to determine the correct t statistic value to use by looking it up in the table (on the equation sheet from the midterm). The equation to determine degrees of freedom to determine the value for the t test statistic is: = nmales + nfemales - 2. Your final answer should be presented as "Difference in means = _(95% Cl: _ _)" (1) Show your calculations here: Page 1 of 8 2552 words x English (United States) Focus E + 159%