Psyc 60: Intro to Statistics

Spring Quarter, 2012
Instructor: Mike Claffey
Location: Center Hall 101

Scroll down for Syllabus

To submit homework and view discussion forums, go to csemoodle.ucsd.edu

Announcements

Review session: Wednesday, June 13th, 6-7 PM, Cog Sci Building (CSB) 001

Materials/Links

Calendar


SundayMondayTuesdayWednesdayThursdayFridaySaturday
Weekly schedule for:

Class

Section*

Office Hours (OH)*

* No sections/ OH during the first week


 9 AM section - Tristan (McGill 1350)

10 AM section - Tristan (McGill 1350)


1-3 PM OH - Prof. Claffey (Mandler 2503)

4 PM class (Center 101)








1 PM section - Ieva (McGill 1350)

1 PM OH - Amy (Muir Woods)

6:00 PM OH - Marisa (Porter's)








1 PM section - Teresa (McGill 1350)

2 PM - OH Ieva (Muir Woods)

3 PM - Office Hours Tristan (Mandler 2503)

4 PM class (Center 101)

5 PM section - Marisa (McGill 1350)




12 PM section - Amy (McGill 1350)

1 PM section - Richard (McGill 1350)

2 PM OH - Teresa (McGill 1170E)

3 PM OH - Richard (McGill B155)

4 PM class (Center 101)
April 1

Week 1


 2
First day of class:
  • Notes 1
  • Syllabus
  • Penny Example
  • Chance
(No OH/ sections this week)
 3
 4
Class:
  • Notes 2
  • Distributions
  • Median, mean
  • Population, samples

 5
 6
Class:
  • Notes 3
  • Standard Deviation
  • z-score
 7
relevant
book chapters
8

Week 2
 9
Start of OHs / sections / clickers in class

Class:
 		10 11
Homework 1 due @ 11:59 PM

Class:
  • Notes 4 cont.
  • Central limit theorem
  • Hypothesis testing
  • z-test
 12 13
Class:

  • Notes 4 cont.
  • z-test cont.
  • Factors that affect outcomes
  • Review
 14
relevant book chapters
15

Week 3


 16
Quiz 1 - Principles,
z Test
Example Quiz
Version A
Version B
Results

 17
 18
Class:
 19
 20
Class:

  • Notes 5 cont.
  • t-Distribution
  • Outcomes
  • t Video
 21
relevant book chapters
22

Week 4

 23
Class:

  • Notes 5 cont.
  • Outcomes
  • Power
 24


 25
Homework 2 due @ 11:59 PM

Class:
  • Notes 5 cont.
  • Confidence intervals
  • Notes 6
 26 27
Last day to drop without a W

t Exercise:
 28
relevant book chapters
29

Week 5


 		30
Quiz 2 - 1 sample tests
Quiz 2 Example
Version A

 May 1



 2
Class
 3
 4
Class
 5

relevant book chapters
6

Week 6

7
Class
  • 2-sample t-test, independent cont.
 8
 9Homework 3 due @ 11:59 PM
10

 11

 		12

relevant book chapters
13

Week 7


 14
Quiz 3 - 2 sample tests
Quiz 3 Example
Version A
Results

 15
 16
 17 18
  • Correlation cont.
  • Notes 9 cont.
 19
relevant book chapters
20

Week 8


 21
  • Regression
  • Notes 9 cont.
 22
 23
 24 25

  • 2-variable Chi-squared
  • Notes 10 cont.

 26
relevant book chapters
27

Week 9

(HW 4 extended
until Monday)
 28
Memorial Day- No class, section or OH

Homework 4 until Mon @ 11:59 PM (no lates after this)
 29
Professor Makeup OH, 1-3 PM, Mandler 2503
 30
Quiz 4 - Correlation, Regression, Chi-squared

Quiz 4 Example
Version A
Results

 31


 June 1

2
3

Week 10


 4
CAPE Evaluations
 5
CAPE Evaluations

 6
CAPE
Evaluations

Last day to participate in Experimetrix


 		7
CAPE Evaluations

 8
CAPE
Evaluations

Homework 5 due @ 11:59 PM

Amy's 12 PM section moved to Mandler 1507

Last day to assign Experimetrix credit

Extra credit papers due by end of class
 9
10

Finals Week


 11
CAPE evalution closes at 8 AM
 12


 13

OH/Review session: 6-7 PM, Cog Sci Building (CSB) 001 (answering questions, no structured content)
 14

Final Exam
3:00-6:00pm
(Center 101, same as lecture)
Conceptual outline for final
 15
 16


Syllabus

Introduction to Statistics
PSYC 60
Instructor: Michael Claffey
Spring 2012

Lectures

MWF 4:00-4:50 PM
Center Hall 101

Holidays:
Memorial Day: Monday, May 28

Final Exam

There will not be make-ups for the final, so please consider alternative classes if you have a conflict.

Thursday, June 14th, 3:00-6:00 PM
Location: TBD

Instructor

Michael Claffey
mclaffey@ucsd.edu
Office Hours: Monday, 1-3 PM, Mandler 2503

Key Topics

Grading

Attendence 10 pts (0.5 per class with max of 10 pts)
Homework
 20 pts (5 at ~4 pts each)
Quizes 40 pts (4 at 10 pts each)
Final 30 pts
Total 100 pts
Extra Credit +3 pts
       
Your course grade will be assigned based on the number of points as follows:
A+ (97 or more), A (93-97), A- (90-93), B+ (87-90), B (83-87), B- (80-83), C+ (77-80), C (73-77), C- (70-73), D (60-70), and F (below 60). For example, a 92.9 is an A- and 87 is a B+.

Teaching Assistants

If you are planning on attending office hours, please email the TA at least 1 hour in advance to tell them you are coming. If no students have emailed, the TAs will cancel their office hours that week.

Name
 Email Office Hours
Tristan Shuman tshuman@ucsd.edu Wed 3-4, Mandler 2503
Teresa Monreal tmonreal@ucsd.edu Fri 2-3, McGill 1170E
Marisa Gilbert megilber@ucsd.edu
 Tues 3:30-4:30, Porters
Ieva Razhas irazhas@ucsd.edu Wed 2-3, Muir Woods
Richard Cui rcui@ucsd.edu Fri 3-4, McGill B155
Amy Kaestner akaestne@ucsd.edu Tues 1-2, Muir


Discussion Sections

All sections are 50 minutes long and held in McGill 1350. Dicussion sections are optional and you may attend any section.

Monday
9, 10 AM
 Tuesday
1 PM
 Wednesday
1 PM, 5 PM
 Thursday
None
 Friday
12, 1 PM

Podcasts

Video casts will be available at podcast.ucsd.edu (Updated Dec 2012: podcasts are no longer available)

Lecture Slides

The instructor will be writing out notes and solving problems during lecture, so there are not necessarily slide PDFs for classes. Any materials that are made available will be posted on this page (likely in the calendar or announcement section).

Clickers / Attendence

Clickers are required for this class.

Each class will require the use of clickers to respond to live questions and get class feedback on understanding. You will not be graded on accuracy but must participate for credit.

You will receive 0.5 points for every class in which you participate, up to a maximum of 10 points. There will be 22 classes in which you can earn participation, so you can miss 2 classes without any loss of points.

For more information, see acms.ucsd.edu/units/mediaservices/clickers.shtml

Textbook

Statistics, Witte & Witte, 8th edition (amazon)

The most recent version is the 9th edition but we will use the older 8th edition to reduce student costs. The on-campus bookstore will only carry the 9th edition, which is fine to use but you may have to adjust readings slightly.

As of end of Week 1

Chapter 1 - Introduction
    Useful

Chapter 2 - Describing Data with Tables and Graphs
    Know frequency table, frequency distributions, cumulative frequency
    Histograms, distribution shapes

Chapter 3 - Describing Data with Averages
    Know mean, mode, median

Chapter 4 - Describing Variability
    CRITICAL NEW CONCEPTS

Chapter 5 - Standard Scores (z) and Normal Distributions
    CRITICAL NEW CONCEPTS

Chapter 6 - Skip

Chapter 7 - Skip

Chapter 8 - Populations, Samples and Probability
    CRITICAL: Populations & Samples
    Probability - review if you aren't familiar with basic rules of probabiliity

As of end of Week 2 (and for Quiz 1)

Chapter 9 - Sample Distribution of the Mean
    Necessary for Homework 1

Chapter 10 - Introduction to Hypothesis Testing: The z Test

As of end of Week 3

Section 11.3 - One and two tailed tests

Chapter 13 - t Test for One Sample

As of end of Week 4 (and for Quiz 2)

Charpter 11 - More About Hypothesis Testing

Chapter 12 - Estimate (Confidence Intervals)

As of end of Week 5 (and for Quiz 3)

Charpter 15 - t Test for Two Related Samples (Repeated Measures)
    Excluding sections 15.6 and 15.9

As of end of Week 6 (and for Quiz 3)

Charpter 14 - t Test for Two Independent Samples
    Excluding sections 14.8, 14.9, 14.12

As of end of Week 7/8 (and for Quiz 4)

Chapter 6 - Describing Relationships: Correlation
   Sections 6.1-6.6 (Excluding 6.7 & 6.8)

Chapter 7 - Regression

As of end of Week 8 (and for Quiz 4)

Chapter 19 - Chi-Squared Test for Qualitative (Nominal) Data

As of end of Week 9/10 (and for Final)

Graphing & Results publication - based on lecture only

Chapter 21 - Postscript: Which Test? (very short, generally useful for final)

Quizzes

For most (but not all) quizzes, you may have a single double-sided sheet of hand-written notes. You may bring a calculator but can not use any communication device (e.i. phone, iPad, netbook).

Homework

There will be 5 online homeworks.

Homework due:    11:59 PM on Wednesday nights
Half credit until:    11:59 PM the following Sunday Thursday night
Zero credit there after


Extra Credit

You have two options to receive extra credit: Experimetrix or a summary paper.

You can sign up for experiments at https://experimetrix2.com/ucsd/. Experiments vary in length and descriptions are available on that website. One point will be added to your final course grade per hour of participation, up to 3 points total. As course instructor I do not have access to the Experimetrix system and will only assign credit based on the final numbers provided by Experimetrix; please address any discrepancies to the help listed on the website.

Alternatively, individuals not wishing to participate in experiments in the psychology department can opt to write a 3-4 page paper on a topic of their choosing relating to statistics or experimental design.  Paper topics must be cleared with the instructor no later than June 1st and handed in no later than the end of class on June 8th.

Academic Dishonesty


Academic dishonesty in any form is against University policy and will NOT be tolerated. 

Academic dishonesty includes, but is not limited to:
- Copying answers on tests
- Communicating with other students during a test
- Copying from a friend’s homework
- Misrepresenting a medical or family emergency or other personal contingency in order to delay a scheduled exam or get extra time on an assignment
- Modifying graded material and then resubmitting it to “correct the error in grading”

Acceptable Actions:
- Working with other students on homework assignments but completing the assignment “in your own words”
- Sharing notes with other students outside of exams