For the Semmelweis case, analyze the data (producing confidence intervals and a hypothesis test) using the transformation y = loge (p/[1 − p]). One modification will be required. There is one case...

For the Semmelweis case, analyze the data (producing confidence intervals and a hypothesis test) using the transformation y = loge (p/[1 − p]). One modification will be required. There is one case where the mortality is zero. A simple adjustment would be to add 1 to each death and 2 to each birth so that mortality = (deaths +1)/(births + 2). There are many sophisticated things that could be done, but this solves the problem while doing little harm to the data. You may choose another adjustment if you feel it is better. Justify the advantage of your method. How does this analysis compare to the example analysis from the book?