suppose we are interested in comparing the proportion of male students who smoke to the proportion of female students who smoke. We have a random sample of 150 students (60 males and 90 females) that included variables: Smoke= "yes" or "no" and gender= "female (F)" or "male (M)". The two-way table below summarizes the results.

Gender =M 9 smoke, 51 do not smoke, and sample size is 60.

Gender=F 9 smoke, 81 do not smoke, and sample size is 90.

Use technology to construct a bootstrap distribution with at least 1000 samples and estimate standard error. Also describe how to use data to construct bootstrap distribution. What should be recorded for each of the boot strap samples?