MC1-Homework-1 - Revision history

Bhrolenok3: Included link to test cases

2016-01-26T20:49:35Z

Included link to test cases

2016-01-20T20:58:28Z

Added rubric section

2016-01-19T01:41:11Z

Task

2016-01-13T21:45:59Z

You have to write it yourself!

2016-01-13T21:32:07Z

Template

2016-01-13T19:54:33Z

Required, Allowed & Prohibited

2016-01-13T19:53:51Z

Task

2016-01-13T19:47:19Z

What to turn in

2016-01-13T19:45:38Z

Template

2016-01-13T19:45:21Z

Udacity login instructions

@@ Line 60: / Line 60: @@
 ** 12.5%: stdev_p = reference answer within 10%
 ** 12.5%: stdev_s = reference answer within 10%
 ==Required, Allowed & Prohibited==

@@ Line 54: / Line 54: @@
 * Make sure your code file is named correctly.
 * Under no circumstance should you submit a word document.
 ==Required, Allowed & Prohibited==

← Older revision		Revision as of 01:41, 19 January 2016
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	Your task for this homework is to write two Python functions: One named <tt>stdev_p()</tt> that computes the population standard deviation of a list of numbers, and another named <tt>stdev_s()</tt> that computes the sample standard deviation. We will use the definitions of population and sample standard deviation provided at wikipedia [[https://en.wikipedia.org/wiki/Standard_deviation here]]. Specifically the sample stdev should use the "Bessel Correction."		Your task for this homework is to write two Python functions: One named <tt>stdev_p()</tt> that computes the population standard deviation of a list of numbers, and another named <tt>stdev_s()</tt> that computes the sample standard deviation. We will use the definitions of population and sample standard deviation provided at wikipedia [[https://en.wikipedia.org/wiki/Standard_deviation here]]. Specifically the sample stdev should use the "Bessel Correction."
		+
		+	Note that only the functions stdev_s() and stdev_p() will be tested. The main part of the code will not be called or tested. The main code is only there to help you test your code.

	==You have to write it yourself!==		==You have to write it yourself!==

@@ Line 11: / Line 11: @@
 ==You have to write it yourself!==
-We want you to implement the functions described above using basic Python functions and control flow comments (e.g., while, for, etc.).  You are not allowed to import any libraries.
+We want you to implement the functions described above using basic Python functions and control flow comments (e.g., while, for, etc.).  You are not allowed to import any libraries besides the standard math library.
 ==Template==

@@ Line 36: / Line 36: @@
 </PRE>
-Cut and paste this template into a local file <TT>stdev_code.py</TT>.  Note that the main part of the code tests the two functions.  Note also that your main code <b>will not be tested</b> by the auto grading code.  Only your functions will be called and tested.
+Cut and paste this template into a local file <TT>stdev_code.py</TT>.  Note that the main part of the code tests the two functions.  Note also that your main code <b>will not be tested</b> by the auto grading code.  Only the specific functions we describe will be called and tested.
 You can run your program using the command: <tt>python stdev_code.py</tt>

@@ Line 65: / Line 65: @@
 Prohibited:
 * Any libraries not listed in the "allowed" section above.
 * Any code you did not write yourself.

@@ Line 5: / Line 5: @@
 ==Task==
-Your task for this homework is to write two Python functions: One named <tt>stdev_p()</tt> that computes the population standard deviation of a list of numbers, and another named <tt>stdev_s()</tt> that computes the sample standard deviation. We will use the definitions of population and sample standard deviation provided at wikipedia [[https://en.wikipedia.org/wiki/Standard_deviation here]].  Specifically the sample stdev should use the "Bessell Correction."
+You should create and test your code in the virtual machine you've installed separately.
 ==You have to write it yourself!==

← Older revision		Revision as of 19:47, 13 January 2016
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	* Submit your code as a single file <tt>stdev_code.py</tt> via t-square. It is essential that you use that name exactly.		* Submit your code as a single file <tt>stdev_code.py</tt> via t-square. It is essential that you use that name exactly.
		+	* Do not submit other files.
		+	* Do not submit zip files.
		+	* Make sure your code file is named correctly.
		+	* Under no circumstance should you submit a word document.

	==Required, Allowed & Prohibited==		==Required, Allowed & Prohibited==

@@ Line 16: / Line 16: @@
 <PRE>
 # calculate the population standard deviation
 def stdev_p(data):

← Older revision		Revision as of 19:45, 13 January 2016
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	* Submit your code as a single file <tt>stdev_code.py</tt> via t-square. It is essential that you use that name exactly.		* Submit your code as a single file <tt>stdev_code.py</tt> via t-square. It is essential that you use that name exactly.
−
−	~~==Udacity login instructions==~~
−
−	~~If you are a GT OMSCS or on-campus student taking this course for credit, you must log in to Udacity using your Georgia Tech account:~~
−	~~[https://login.gatech.edu/cas/login?service=http%3A%2F%2Fweb.iam.gatech.edu%2Fudacity-login%2F GT-Udacity Login]~~
−
−	~~Here's a [https://www.youtube.com/watch?v=pyqirZW_sT8 helpful video]. Once you're in, visit the above link again, or navigate to the course from '''My Courses'''.~~
−
−	~~'''Note''': DO NOT log in using your personal Udacity account, in case you have one.~~

	==Required, Allowed & Prohibited==		==Required, Allowed & Prohibited==