Below is the syntax highlighted version of Average.java
from §9.7 Optimization.
/****************************************************************************** * Compilation: javac Average.java * Execution: java Confidence < data.txt * Dependencies: StdIn.java * * Reads in a sequence of real numbers, computes the mean, standard * deviation and 95% approximate confidence interval. * * Note: the two-pass formula is preferred for stability. * * Limitations * ----------- * - at most 100000 inputs * * % java Average * 10.0 5.0 6.0 * 3.0 7.0 32.0 * average = 10.5 * sample variance = 116.3 * sample stddev = 10.784247771634329 * 95% approximate confidence interval * [ -10.637125632403283, 31.637125632403283 ] * * % java Average * 0.5000000000000002 0.5000000000000001 * average = 0.5000000000000002 * sample variance = 1.232595164407831E-32 * sample stddev = 1.1102230246251565E-16 * 95% approximate confidence interval * [ 0.5, 0.5000000000000004 ] * * ******************************************************************************/ public class Average { public static void main(String[] args) { int MAXN = 100000; int n = 0; double[] x = new double[MAXN]; // first pass: read in data, compute sample mean double sumx = 0.0; while (!StdIn.isEmpty()) { x[n] = StdIn.readDouble(); sumx += x[n]; n++; } double xbar = sumx / n; // second pass: compute sample variance double xxbar = 0.0; for (int i = 0; i < n; i++) { xxbar += (x[i] - xbar) * (x[i] - xbar); } double variance = xxbar / (n - 1); double stddev = Math.sqrt(variance); double lo = xbar - 1.96 * stddev; double hi = xbar + 1.96 * stddev; // print results StdOut.println("average = " + xbar); StdOut.println("sample variance = " + variance); StdOut.println("sample stddev = " + stddev); StdOut.println("95% approximate confidence interval"); StdOut.println("[ " + lo + ", " + hi + " ]"); } }