[Git][NTPsec/ntpsec][master] Fix typos

[Matt Selsky]

Matt Selsky pushed to branch master at NTPsec / ntpsec


Commits:
1cc21c31 by Matt Selsky at 2017-04-26T01:38:34-04:00
Fix typos

- - - - -


3 changed files:

- docs/driver_arbiter.txt
- docs/includes/mrufail.txt
- ntpclients/ntpviz


Changes:

=====================================
docs/driver_arbiter.txt
=====================================
--- a/docs/driver_arbiter.txt
+++ b/docs/driver_arbiter.txt
@@ -153,7 +153,7 @@ without relying on the accuracy of the local system clock, which
 is exactly what an NTP implementation may not do without risking
 perverse failure modes (especially at startup time).
 
-The only sure remedy is to be sure the Arbiter's firmware has been .
+The only sure remedy is to be sure the Arbiter's firmware has been
 updated within the current GPS era.
 
 '''''


=====================================
docs/includes/mrufail.txt
=====================================
--- a/docs/includes/mrufail.txt
+++ b/docs/includes/mrufail.txt
@@ -1,6 +1,6 @@
 // Explain the MRU stall problem and why ntpq has 'direct' mode.
 
-Timestamp interpretation in this program is likely to to fail in flaky
+Timestamp interpretation in this program is likely to fail in flaky
 ways if the local system clock has not already been approximately
 synchronized to UTC. Querying a server based in a different
 NTP era than the current one is especially likely to fail.


=====================================
ntpclients/ntpviz
=====================================
--- a/ntpclients/ntpviz
+++ b/ntpclients/ntpviz
@@ -1689,7 +1689,7 @@ in ppm or ppb.
 <dd>The arithmetic mean: the sum of all the values divided by the
 number of values.
 The formula for mu is: "mu = (∑x<sub>i</sub>) / N".
-Whare x<sub>i</sub> denotes the data points and N is the number of data
+Where x<sub>i</sub> denotes the data points and N is the number of data
 points.</dd>
 
 <dt>ns, nanosecond:</dt>
@@ -1732,7 +1732,7 @@ arithmetic mean of the data set. The SD is simply the square root of
 the variance of the data set.  Two sigma is simply twice the standard
 deviation.  Three sigma is three times sigma.  Smaller is better.<br>
 The formula for sigma is: "σ = √[ ∑(x<sub>i</sub>-mu)^2 / N ]".
-Whare x<sub>i</sub> denotes the data points and N is the number of data
+Where x<sub>i</sub> denotes the data points and N is the number of data
 points.</dd>
 
 <dt>µs, us, microsecond:</dt>



View it on GitLab: https://gitlab.com/NTPsec/ntpsec/commit/1cc21c31a5d16de1f4f08cf832bfac0fc0c40470

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View it on GitLab: https://gitlab.com/NTPsec/ntpsec/commit/1cc21c31a5d16de1f4f08cf832bfac0fc0c40470
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