From 2b1b38f740291685270ae6b06101bb9c2b5b29aa Mon Sep 17 00:00:00 2001
From: Jan Benda <jan.benda@uni-tuebingen.de>
Date: Sat, 1 Nov 2014 15:59:05 +0100
Subject: [PATCH] improved the text

---
 projects/project_fano_test/fano.tex | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)
 mode change 100755 => 100644 projects/project_fano_test/fano.tex

diff --git a/projects/project_fano_test/fano.tex b/projects/project_fano_test/fano.tex
old mode 100755
new mode 100644
index 556e9c0..cc38e49
--- a/projects/project_fano_test/fano.tex
+++ b/projects/project_fano_test/fano.tex
@@ -33,9 +33,11 @@
 
 
 \begin{questions}
-  \question The Fano factor $\frac{\sigma^2}{\mu}$ is a common measure
-  in neural coding because a Poisson process---for which each spike is
-  independent of every other---has a Fano factor of one.
+  \question The Fano factor $F=\frac{\sigma^2}{\mu}$ relates the
+  variance of a spike count $\sigma^2$ to the mean spike count
+  $\mu$. It is a common measure in neural coding because a Poisson
+  process---for which each spike is independent of every other---has a
+  Fano factor of one.
 
   The table contains spike counts from a neuron measured in twelve
   trials.
@@ -43,9 +45,9 @@
   \begin{center}
     \begin{tabular}{cccc}
       \multicolumn{4}{c}{\bf number of spikes} \\ \hline\\
-      36.00 & 28.00 & 38.00 & 35.00\\
-      32.00 & 30.00 & 35.00 & 29.00\\
-      29.00 & 24.00 & 26.00 & 34.00
+      36 & 28 & 38 & 35\\
+      32 & 30 & 35 & 29\\
+      29 & 24 & 26 & 34
     \end{tabular}
   \end{center}
 
@@ -56,7 +58,7 @@
     uses the Fano factor as test statistic and tests against the Null
     hypothesis that the spike counts come from a Poisson process.
     \part Plot the spike counts appropriately. 
-    \part Implement the test and use that it on the data above.
+    \part Implement the test and use it on the data above.
   \end{parts}
 
 \end{questions}