/* Example SAS code for calculating confidence intervals for the population mean */

OPTIONS pagesize=50 linesize=64; 
/* (setting the page margins) */

/* The MEANS procedure with CLM computes confidence intervals for mu */


/* Consider an example in which we had data on weights of newborn babies */
/* The following code will enter 9 data points (weights for 9 babies) */
/* and give us a confidence interval for the population mean weight */


data babywt;

input weight;
cards;
7.5
8
6
5.6
9.1
6.7
7
7.8
9.6
;
run;

proc means data=babywt clm;
var weight;
title '95 percent CI for population mean weight';
run;

/* 95 percent is the default confidence level */
/* What if we wanted a 99 percent CI? Then we specify alpha=0.01: */

proc means data=babywt clm alpha=0.01;
var weight;
title '99 percent CI for population mean weight';
run;

/* After we input this program into the program editor and do "Run"->"Submit" */
/* Then the results print in the Output window (across multiple pages) */
/* To save paper when printing out results, copy the Output and paste it into */
/* something like Word or Notepad */

/* Notice in SAS we input the actual data, whereas in class we started with the */
/* sample statistics x-bar and s. */