1. Give an example that the fundational assumption on missing data is not satisfied. Any time that data wouldn't "make sense" qualifies. A few examples: Quality of life after death Two questions: 1. Health Insurance? (yes/no) 2. Type of Health Insurance (various choices) If 1. is "no", then missing data in question 2 should not be imputed. Perhaps given a category as "Not Applicable", but not imputed. There are instances where it's possible to impute missing data, but it should not be done. An example: If a study participant denies consent for DNA testing, then their DNA-related data is missing, but should remain so. This depends on legal and ethical considerations, but it's important to think about. 2. 2. Provide SAS and STATA codes to input data on screen and read data from a file with the following format: a) online b) Ascii c) SPSS d) Excel There is no real "right" answer here; so long as you can open the files somehow, it's fine. I'm going to be stealing well-written answers from submitted homeworks. If I take yours, thank you! SAS-online (Save it to the local machine, then use one of the methods below) SAS-Ascii data new; infile 'g:\data\filename.txt'; input ID variable1 variable2 ; run; SAS-SPSS file (In SPSS, save the file as a portable file. (.por extension)) libname mylib SPSS 'g:\data\filename.por'; data new; set mylib.filename; run; SAS-Excel PROC IMPORT OUT= work.ids DATAFILE= "g:\data\filename.xls" DBMS=EXCEL2000 REPLACE; GETNAMES=YES; usedate=yes; RUN; Stata-online insheet using “http://websitename.edu/filename.csv” Stata-Ascii insheet using "g:\data\filename.txt”, clear Stata-SPSS file SPSS use File Save As to make a comma separated file (.csv) and then in Stata use: insheet using “g:\data\filename.csv” Stata-Excel file (save it as a .csv file from Excel, then use the Ascii method) In almost all cases, saving the file in an Ascii format (.txt, .csv) then reading it in works well.