diff --git a/ex-7/test.c b/ex-7/test.c
new file mode 100644
index 0000000..c325d3d
--- /dev/null
+++ b/ex-7/test.c
@@ -0,0 +1,149 @@
+#include <stdio.h>
+#include <string.h>
+#include <math.h>
+#include <gsl/gsl_blas.h>
+#include <gsl/gsl_vector.h>
+#include <gsl/gsl_rstat.h>
+#include "common.h"
+
+/* Options for the program */
+struct options {
+  size_t nsig;
+  size_t nnoise;
+  int iter;
+  int trained;
+  double weights[3];
+};
+
+
+/* `classify(w, t, x)` classifies a single point
+ * `x` using the weight vector `w` and cut `t`.
+ * Returns 0 for noise and 1 for signal.
+ */
+int classify(gsl_vector *w, double cut, gsl_vector *x) {
+  double proj; gsl_blas_ddot(w, x, &proj);
+  return signbit(proj - cut);
+}
+
+
+/* Counts the misclassified data given the weights+cut
+ * values and the expected outcome using the `classify`
+ * function, defined above.
+ */
+int misclassified(double *weights, int expected, gsl_matrix *data) {
+  int count = 0;
+  double cut = weights[2];
+  gsl_vector w = gsl_vector_view_array(weights, 2).vector;
+
+  for (size_t i = 0; i < data->size1; i++) {
+    /* Get a vector view of the 
+     * current row in the data matrix.
+     */
+    gsl_vector x = gsl_matrix_const_row(data, i).vector;
+    if (classify(&w, cut, &x) != expected)
+      count++;
+  }
+  return count;
+}
+
+
+int show_help(char **argv) {
+  fprintf(stderr, "Usage: %s -[hisnw] WEIGHT [WEIGHT..] CUT\n", argv[0]);
+  fprintf(stderr, "  -h\t\tShow this message.\n");
+  fprintf(stderr, "  -i N\t\tThe number of test iterations to run.\n");
+  fprintf(stderr, "  -s N\t\tThe number of events in signal class.\n");
+  fprintf(stderr, "  -n N\t\tThe number of events in noise class.\n");
+  fprintf(stderr, "\nRun tests classifying randomly generated data, "
+                  "using the given WEIGHT and CUTs.\n");
+  return EXIT_FAILURE;
+}
+
+
+int main(int argc, char **argv) {
+  /* Set default options */
+  struct options opts;
+  opts.nsig    =  800;
+  opts.nnoise  = 1000;
+  opts.iter    = 500;
+
+  /* Process CLI arguments */
+  if (argc < 2) return show_help(argv);
+  for (size_t i = 1; i < argc; i++) {
+         if (!strcmp(argv[i], "-s")) opts.nsig = atol(argv[++i]);
+    else if (!strcmp(argv[i], "-n")) opts.nnoise = atol(argv[++i]);
+    else if (!strcmp(argv[i], "-i")) opts.iter = atoi(argv[++i]);
+    else if (!strcmp(argv[i], "-h")) return show_help(argv);
+    else {
+      for (int j = 0; j < 3; j++)
+        opts.weights[j] = atof(argv[i++]);
+    }
+  }
+
+  // initialise RNG
+  gsl_rng_env_setup();
+  gsl_rng *r = gsl_rng_alloc(gsl_rng_default);
+
+  // initialise running stats
+  gsl_rstat_workspace *false_pos = gsl_rstat_alloc();
+  gsl_rstat_workspace *false_neg = gsl_rstat_alloc();
+
+  /* Generate two classes of normally
+   * distributed 2D points with different
+   * paramters: signal and noise.
+   */
+  struct par par_sig   = { 0, 0, 0.3, 0.3, 0.5 };
+  struct par par_noise = { 4, 4, 1.0, 1.0, 0.4 };
+
+  /* Generate `iter` different samples, apply the
+   * binary classification with the given weights
+   * and measure purity and efficiency.
+   */
+  for (int i = 0; i < opts.iter; i++) {
+    sample_t *signal = generate_normal(r, opts.nsig, &par_sig);
+    sample_t *noise  = generate_normal(r, opts.nnoise, &par_noise);
+
+    /* Count false positive/negatives and add them to
+     * the running stats workspaces to calculate mean/stddev.
+     */
+    gsl_rstat_add(misclassified(opts.weights, 0,  noise->data), false_neg);
+    gsl_rstat_add(misclassified(opts.weights, 1, signal->data), false_pos);
+  
+    // free memory
+    sample_t_free(signal);
+    sample_t_free(noise);
+  }
+
+  puts("# results\n");
+  puts("## false negatives");
+  printf(
+    "- total noise: %ld\n"
+    "- mean: %.3g, stddev: %.2g\n"
+    "- min: %g, max: %g\n",
+    opts.nnoise,
+    gsl_rstat_mean(false_neg),
+    gsl_rstat_sd(false_neg),
+    gsl_rstat_min(false_neg),
+    gsl_rstat_max(false_neg));
+
+  puts("\n## false positives");
+  printf(
+    "- total signal: %ld\n"
+    "- mean: %.3g, stddev: %.2g\n"
+    "- min: %g, max: %g\n",
+    opts.nsig,
+    gsl_rstat_mean(false_pos),
+    gsl_rstat_sd(false_pos),
+    gsl_rstat_min(false_pos),
+    gsl_rstat_max(false_pos));
+
+  puts("\n## averages");
+  printf("- purity:\t%.3e\n", 1 - gsl_rstat_mean(false_neg)/opts.nsig);
+  printf("- efficiency:\t%.3e\n", 1 - gsl_rstat_mean(false_pos)/opts.nsig);
+
+  // free memory
+  gsl_rng_free(r);
+  gsl_rstat_free(false_neg);
+  gsl_rstat_free(false_pos);
+
+  return EXIT_SUCCESS;
+}
diff --git a/makefile b/makefile
index c0e3626..0cbd4ef 100644
--- a/makefile
+++ b/makefile
@@ -26,6 +26,8 @@ ex-6/bin/main: ex-6/rl.c ex-6/fft.c
 
 ex-7/bin/main: ex-7/main.c ex-7/common.c ex-7/fisher.c ex-7/percep.c
 	$(CCOMPILE)
+ex-7/bin/test: ex-7/test.c ex-7/common.c
+	$(CCOMPILE)
 
 misc/pdfs: misc/pdfs.c