Syllabus:Stat 202 Fall 2016 - Revision history

Carver at 04:47, 4 October 2016

2016-10-04T04:47:53Z

Carver at 20:36, 7 September 2016

2016-09-07T20:36:59Z

Carver at 13:26, 29 August 2016

2016-08-29T13:26:02Z

Carver at 13:15, 29 August 2016

2016-08-29T13:15:28Z

Carver at 13:13, 29 August 2016

2016-08-29T13:13:54Z

Carver at 12:37, 29 August 2016

2016-08-29T12:37:00Z

Carver at 02:35, 29 August 2016

2016-08-29T02:35:10Z

Carver at 02:26, 29 August 2016

2016-08-29T02:26:26Z

Carver at 02:15, 29 August 2016

2016-08-29T02:15:52Z

Carver at 01:45, 29 August 2016

2016-08-29T01:45:58Z

@@ Line 69: / Line 69: @@
 * September 8 (Thursday): Getting Data Discussion and Extra Credit Preparation due.
 * September 15 (Thursday): Extra Credit Project Proposal due.  Also, last day to indicate your intention to do election day data collection, and choose your partner.
-* Tentative: September 22 (Thursday): Exam 1.  Location to be decided.
+* September 22 (Thursday): Exam 1.  Location to be decided.
 * October 17 (Monday): Extra Credit Project Updates due.
-* Tentative: November 3 (Thursday): Exam 2.  Location to be decided.
+* November 3 (Thursday): Exam 2.  Location to be decided.
 * November 8 (Tuesday): Election Day - Extra Credit Data Collection happens on that day.
 * November 10 (Thursday): Extra Credit Data Collection Write-Up due

@@ Line 1: / Line 1: @@
 <big> '''Basic Statistics (Stat 202) Fall 2016 Section 003''' </big>
-'''Materials:''' [[Lectures:_Stat_202_Fall_2016|''[Lectures Notes (Fall 2016)]'']][[Old_Lectures:_Stat_202|''[Old Lectures Notes (Previous Semesters)]'']][[Homework:_Stat_202_Summer_2016|''[Homework]'']][[Data:_Stat_202|''[Data]'']][[Links:_Stat_202_Summer_2016|''[Links and Other Materials]'']]
+'''Materials:''' [[Lectures:_Stat_202_Fall_2016|''[Lectures Notes (Fall 2016)]'']][[Old_Lectures:_Stat_202|''[Old Lectures Notes (Previous Semesters)]'']][[Homework:_Stat_202_Summer_2016|''[Homework]'']][[Data:_Stat_202|''[Data]'']][[Links:_Stat_202_Summer_2016|''[Links and Other Materials]'']][[Practice:_Stat_20X|''[Practice Problems]'']]
 '''Instructor:''' <big> Sean Carver, Ph.D., </big> Professorial Lecturer, American University.

@@ Line 115: / Line 115: @@
 : This is a project run by Mary Gray, another professor in Statistics.  Participation in the data collection is separate from the project.  You can get credit for one project, or the other project, or both.  Your main project can involve the data being collected on election day (yours and everyone else's) but it doesn't have to.  See Professor Gray's description of the whole project here [[Media:Election_Day_2016_Data_Collection.pdf|here]].
-Turn in the data you collected and a write up of your experience (one or a few paragraphs) to me (Carver) on November 10 (Thursday) or November 9 (Wednesday) and I'll pass the data along to Professor Gray.
+Data due: November 10 (Thursday).
 Final projects due December 8 (Thursday): (Last day of class).

@@ Line 113: / Line 113: @@
 Election Day Data collection: November 8 (Tuesday).
-: This is a project run by Mary Gray, another professor in Statistics.  Participation in the data collection is separate from the project.  You can get credit for one project, or the other project, or both.  Your main project can involve the data being collected on election day (yours and everyone else's) but it doesn't have to.  See Professor Gray's description here [[Media:Election_Day_2016_Data_Collection.pdf|here]]
+: This is a project run by Mary Gray, another professor in Statistics.  Participation in the data collection is separate from the project.  You can get credit for one project, or the other project, or both.  Your main project can involve the data being collected on election day (yours and everyone else's) but it doesn't have to.  See Professor Gray's description of the whole project here [[Media:Election_Day_2016_Data_Collection.pdf|here]].
 Turn in the data you collected and a write up of your experience (one or a few paragraphs) to me (Carver) on November 10 (Thursday) or November 9 (Wednesday) and I'll pass the data along to Professor Gray.

@@ Line 113: / Line 113: @@
 Election Day Data collection: November 8 (Tuesday).
-: This is a project run by Mary Gray, another professor in Statistics.  Participation in the data collection is separate from the project.  You can get credit for one project, or the other project, or both.  Your main project can involve the data being collected on election day (yours and everyone else's) but it doesn't have to.
+: This is a project run by Mary Gray, another professor in Statistics.  Participation in the data collection is separate from the project.  You can get credit for one project, or the other project, or both.  Your main project can involve the data being collected on election day (yours and everyone else's) but it doesn't have to.  See Professor Gray's description here [[Media:Election_Day_2016_Data_Collection.pdf|here]]
 Turn in the data you collected and a write up of your experience (one or a few paragraphs) to me (Carver) on November 10 (Thursday) or November 9 (Wednesday) and I'll pass the data along to Professor Gray.

@@ Line 76: / Line 76: @@
 * November 22-27 (Tuesday-Sunday): Thanksgiving Break, no class.
 * December 8 (Thursday): Last day of class, and Extra Credit Projects due.
-* Final Exam: Location, Date and Time to be decided.
+* December 12 (Monday): 11:20-1:50 Final Exam.  Location to be decided.
 * See also AU's academic calendar: http://www.american.edu/provost/registrar/upload/Academic-Calendar-2016-2017-Inc-WCL-20160720.pdf

@@ Line 63: / Line 63: @@
 '''Class times and locations:'''
 * Section 3: Monday, Wednesday, Thursday: 11:20 AM TO 12:35 PM, WARD 303 (Wednesday's class ends 15 minutes early).
 '''Important Dates:'''

@@ Line 99: / Line 99: @@
 There are several planned milestones with due dates for completing the project:
 * September 8 (Thursday): Getting Data Discussion and Extra Credit Preparation due.
-* September 15 (Thursday): Extra Credit Project Proposal due.
+* September 15 (Thursday): Extra Credit Project Proposal due.  Indicate participation in election day data collection and choose a partner.
 * October 17 (Monday): Extra Credit Project Updates due.
 * November 8 (Tuesday): Election Day - Extra Credit Data Collection happens on that day.
@@ Line 105: / Line 105: @@
 * December 8 (Thursday): (Last day of class, and) Extra Credit Projects due.
-Data discussion:
+Data discussion, September 8:
 : You can get extra credit (1 homework) for doing the data discussion preparation whether or not you choose to do a project.  Due Thursday, September 8. You must be present in class on Thursday, September 8 to get the points, and you must both participate in the discussion in class and turn in (that same day) a short written piece (one or a few paragraphs) describing your experience with the assignment and answering the questions below.  To complete the assignment, pick a topic, suggestions are listed above.  See what data you can find on the web concerning this topic.  Use Google, and start with the key words "data" and your topic.  Are the data you find free or do they cost money?  Can you download the data set or do you need a computer program (or hand copy) to pull them off the web?  If you can download the data, can you load it into StatCrunch or do the data require "munging" to be used by StatCrunch?  Then answer the following questions (you should know how by September 8):  What are the cases, and what are variables?  (If there are many variables, what are some of the ones that are of interest to you?)  Spend at least 45 minutes on this assignment.  If you finish with your first topic in less than 45 minutes, try another topic.
-The project proposal.
+The project proposal, September 15:
-: Turn in one or a few paragraphs describing what you would like to do.
+: Turn in one or a few paragraphs describing what you would like to do.  If you intend to participate in the election day data collection (whether or not you are doing a project) please indicate your intention on a separate sheet of paper, submitted together with your name and the name of your chosen partner (each pair turns in one sheet of paper).  If you haven't found a partner by class time on September 15, don't worry.  Single participants will pair up during the September 15 class.
 The project update: October 17 (Monday).

@@ Line 106: / Line 106: @@
 Data discussion:
-: You can get extra credit (1 homework) for doing the data discussion preparation whether or not you choose to do a project.  Due Thursday, September 8. You must be present in class on Thursday, September 8 to get the points, and you must both participate in the discussion in class and turn in (that same day) a short written piece (one or a few paragraphs) describing your experience with the assignment and answering the questions below.  To complete the assignment, pick a topic, suggestions are repeated below.  See what data you can find on the web concerning this topic.  Use Google, and start with the key words "data" and your topic.  Are the data you find free or do they cost money?  Can you download the data set or do you need a computer program (or hand copy) to pull them off the web?  If you can download the data, can you load it into StatCrunch or do the data require "munging" to be used by StatCrunch?  Then answer the following questions (you should know how by September 8):  What are the cases, and what are variables?  (If there are many variables, what are some of the ones that are of interest to you?)  Spend at least 45 minutes on this assignment.  If you finish with your first topic in less than 45 minutes, try another topic.  Suggested topics, also listed above (actually, whatever interests you): sports (of various kinds, there are lots of free good data on baseball), entertainment, movies (again good data), law, criminology, government, city planning, architecture, weather, climate, geology, seismology, medicine, epidemiology, health, fitness, biology, evolution, extinction, ecology, math, computer science, statistics, data science, anthropology, ethnic studies, gender studies, history, sociology, culture, tourism, archeology, art, literature, writing, journalism, census, linguistics, finance, economics, business, astronomy, physics, chemistry, library sciences, theology, anything else you can think of.
+: You can get extra credit (1 homework) for doing the data discussion preparation whether or not you choose to do a project.  Due Thursday, September 8. You must be present in class on Thursday, September 8 to get the points, and you must both participate in the discussion in class and turn in (that same day) a short written piece (one or a few paragraphs) describing your experience with the assignment and answering the questions below.  To complete the assignment, pick a topic, suggestions are listed above.  See what data you can find on the web concerning this topic.  Use Google, and start with the key words "data" and your topic.  Are the data you find free or do they cost money?  Can you download the data set or do you need a computer program (or hand copy) to pull them off the web?  If you can download the data, can you load it into StatCrunch or do the data require "munging" to be used by StatCrunch?  Then answer the following questions (you should know how by September 8):  What are the cases, and what are variables?  (If there are many variables, what are some of the ones that are of interest to you?)  Spend at least 45 minutes on this assignment.  If you finish with your first topic in less than 45 minutes, try another topic.
 The project proposal.
@@ Line 142: / Line 142: @@
 |-
 | Final
-| 35%
+| 25%
 |-
 | Extra Credit Data Discussion Preparation Write-up
@@ Line 160: / Line 160: @@
 '''Academic Integrity:'''  ''Cheating is not acceptable and will not be tolerated.''  Consider this:  in subtle ways, cheating to get a better grade on an exam can result in ''lowering'' the grades of some of your classmates.  Certainly this is true when a specific curve is used to assign grades.  Even when I don't use curves explicitly, they can be implicit in decisions about writing and grading exams.  As required by the policy of American University, I will report '''all''' suspected cases of cheating to the Dean's office who will proceed to investigate and adjudicate the issues.   Cheating is giving or receiving unauthorized assistance on exams, from other students or other people, from notes, from books, or from the web.  When inappropriate copying between students is caught, both parties may be culpable.
-'''Homework, Attendance and Participation Policy:'''  Usually I award a maximum of 10 points for each homework set.  The due date for homework is technically the end of class, one week after it is assigned, however you should make every effort to complete each assignment as soon as possible.  You can turn in homework anytime, up to Wednesday, December 7.  Homework turned in after the technical due date will receive a maximum of only 5 points.  I plan to post deadlines on this website.
+'''Homework, Attendance and Participation Policy:'''  Homework is worth 10% of your grade, with each assignment weighted equally (10 points maximum).  The due date for homework is technically the end of class, one week after it is assigned, however you should make every effort to complete each assignment as soon as possible.  That said, you can turn in homework anytime, up to Wednesday, December 7.  Homework turned in after the technical due date will receive a maximum of only half credit (5 points).  I plan to post deadlines on this website.
 I like to give the solutions to homework problems at the same time I assign the problems.  Conscientious students, who wrestle with problems before looking at the answers, benefit from having instant feedback about their solutions, right, wrong, or incomplete.  Less conscientious students who use the answers to easily complete the assignments often do poorly on exams.  The responsibility for your education rests in your own hands.  Don't be one of the outliers who use shortcuts to avoid preparing for the exams.    Concerning homework, you are encouraged to work with your classmates, if you find that helpful.  In fact, you are encouraged to do whatever you find most helpful with the homework, but by turning in a solution to a problem, you pledge that you understand the solution, or that you talked to me in office hours or during or after class and made a good faith effort to understand how to do the problem.   If it looks like you got the full benefit from the assignment, and if you turn it in by the due date, I will award you a perfect 10 points.  I may mark you down if it seems that you have copied the answers without including any of the required calculations.  You must include your work.