Lectures: 
MTWTh 1:302:200 pm in KNE 220 


Sections: 
AA: 10:30  11:20 MGH 030 (TA: Adriana) 

AB: 11:30  12:20 MGH 030 (TA: Adriana) 

AC: 12:30  1:20 MGH 030 (TA: Kelly) 

AD: 1:302:20 MGH 030 (TA: Kelly) 


Instructor 
Geoff Boynton 



Phone: (206) 6856493 



Office Hours: WEEK 10: Wednesday 12:00  1:15, Thursday 2:303:30, 4:305:30 


TAs 
Adriana Germano 

Office: Chem Library 130 

email: agermano@uw.edu 

Office Hours: Thursdays 3:004:00 pm or by appt. 



Kelly Chang 

Office: Chem Library 130 

email: kchang4@uw.edu 

Office Hours: Wednesday 2:303:30 pm or by appt. 


Undergrad TA 
Jia (Ivy) Chen 

email: Jia: ivychenj@uw.edu 

Office: Chem Library 130 

Office Hours: Tuesday 2:303:30 pm or by appt. 


Screencasts:
Panopto recordings for lectures can be found here.
Grade book:
Textbook: Statistical Reasoning in the Behavioral Sciences (6th edition)
Note: While I'll be referring to page numbers and examples in the 6th edition, other editions are not very different. You may use other editions with the understanding that you are responsible for discrepancies between the lectures and your book.
Statistical Tables:
There is also a pdf document containing stats tables that will be useful for exams:
You can download the pdf of the Statistical Tables here
Here's a link to the power curves:
You can download the pdf of the Power Curves here
Calculator: The calculator you use for this class must have statistical functions. Most inexpensive calculators have the functions you will need. You must be able to enter a set of numbers and then easily recall from memory the following terms, the mean, X, X^{2} and n (sample size). These memory and statistical functions will make it easier and much faster to do the necessary calculations as you progress through the course.
Computer: Some homework assignments will involve the use of Microsoft Excel. Computer assignments will be submitted either as excel documents or as printed documents, depending on the assignment.
Departmental Learning Goals for Psych 315:
By the end of this course, students will be able to:
1. Understand basic statistical methods including:
(a) visual display of data
(b) quantitative summaries of data
(c) null hypothesis significance testing
(d) confidence intervals for population parameters
(e) measures of effect size
2. Make appropriate choices among descriptive statistics in order to summarize
psychological data in terms of location and spread, and, in the case of multiple variables,
degree of association.
3. Understand and appreciate the logic behind hypothesis testing. Understand that
conclusions drawn from hypothesis testing are limited and that statistical tests can prove
nothing conclusively. Appreciate that statistical conclusions should be understood
probabilistically and that any statistical decision has a probability of being in error.
4. Understand and apply basic inferential statistical tests to answer specific statistical
hypotheses. Be able to select appropriately choices among inferential statistical methods
based on the types of variables under study, the number of variables under study, and
how many samples are obtained.
5. Use scientific writing to write about statistical methods selected and conclusions drawn
from data.
6. Use basic spreadsheet software to create visual displays of data, compute descriptive
statistics, and obtain results of basic statistical tests.
Discussion Board
There is a Discussion Board set up for this class. This is a good place to post questions to your instructors and TAs that you think other students might benefit from. Your instructor and TAs will check the board reguarly and post replies to your questions and comments. Links to the Psych 315 Discussion Board can be found at the top of the course webpages, or at:
https://catalyst.uw.edu/gopost/board/gboynton/43656/
Course Policies and Grading
The course gradebook can be viewed here:
https://catalyst.uw.edu/gradebook/gboynton/100275
Attendance at all lectures and weekly quiz sections is expected but not mandadory. You are responsible for all announcements made during class meetings regarding exam scheduling and homework due dates. Please check with your TA if you need class handouts.
Exams:
There will be three midterm exams and one cumulative final. Each midterm exam will count 15% of your grade, for a total of 45%. The final exam will count 30% of your final grade.
The final exam will be given on Monday, March 13, 2017 from 2:304:20 in KNE 220 (our regular classroom).
In the exams you will be able to reference your class notes, books, homework, other paper materials. Other than a scientific calculator, you won't be able to use laptops, PDAs, cell phones, or other electronic devices during the exams.
Homework assignments
You will have several homework assignments that will count for a total of 25% of your grade. These will be (approximately) weekly assignments. Most of these assignments will involve performing statistical analyses, making decisions and explaining the results. The work you turn in must be neat and well organized in order for it to be accepted for grading and for credit. The goal of the weekly assignments is to practice solving problems like those on the exams.
Course grades:
Your final GPA for this class will be determined by calculating a course percent grade based on these weights:
Exam 1 
15% 
Exam 2 
15% 
Exam 3 
15% 
Final 
30% 
Homework 
25% 
weighted average of your four exams and assignments as stated above). Once your course percent grade has been calculated and rounded down, the GPA will be determined using this standard table. The numbers in the table are the lowest score for that grade. For example, any grade greater than or equal to 94 and less than 95 will be a 3.9
Average 
Grade 
100 
4.0 
99 
4.0 
98 
4.0 
97 
4.0 
96 
4.0 
95 
4.0 
94 
3.9 
93 
3.8 
92 
3.7 
91 
3.6 
90 
3.5 
89 
3.4 
88 
3.3 
87 
3.2 
86 
3.1 
85 
3.0 
84 
2.9 
83 
2.8 
82 
2.7 
81 
2.6 
80 
2.5 
79 
2.4 
78 
2.3 
77 
2.2 
76 
2.1 
75 
2.0 
74 
1.9 
73 
1.8 
72 
1.7 
71 
1.6 
70 
1.5 
69 
1.4 
68 
1.3 
67 
1.2 
66 
1.1 
65 
1.0 
64 
0.9 
63 
0.8 
62 
0.7 
61 
0.6 
I will not curve down (i.e., give you a lower grade than you might think), but I may curve up.
Timeliness policies:
Assignments will not be accepted late unless cleared with your TA before it is due. Assignments are due at the beginning of class on the due date. There are no exceptions to this policy. Similarly, no makeup exams will be given unless: (1) notice is given to the instructor, in writing, prior to the regularly scheduled exam time, or (2) extenuating circumstances prevail for which documentation is available, in the form of an airline ticket receipt (in the case of family emergencies) or a doctor's note (not an appointment card) for serious illness or injury. This documentation must be presented to the instructor. All makeup exams must be taken within one week of the missed exam. There are no exceptions to this policy.
Please do not ask us to set aside a separate time for you to take any of the exams. Because we are not able to accommodate every student's request for special consideration, it is not fair to the students in the class to accommodate specific individuals.
Important University Policies
Academic dishonesty:
The University of Washington has a set of guidelines on how to respond to suspected cases of academic dishonesty, or "cheating." These cases include plagiarism (using another person's work without giving due credit) in written assignments and referring to contraband/getting help from someone else in testing situations. You should familiarize yourself with these guidelines. As a student at the University of Washington you are held to "high standards of academic and professional honesty and integrity" by the Student Conduct code.
The Student Conduct Code can be read on the University of Washington's website at:
http://www.washington.edu/students/handbook/conduct.html.
If academic dishonesty occurs, you receive a grade of zero on the assignment, and I will refer the matter to the Dean of Arts and Sciences. I respect each of you, and I expect each of you to honor that respect.
In other words, don't cheat.
Students with disabilities:
I am happy to accommodate students with disabilities in my class, and I follow the University's guidelines or these accommodations. The University is committed to ensuring facility and program access to students with either permanent or temporary disabilities through a variety of services and equipment. The Disabled Student Services (DSS) Office coordinates academic accommodations for enrolled students with documented disabilities. Accommodations are determined on a casebycase basis and may include classroom relocation, sign language interpreters, recorded course materials, note taking, and priority registration. DSS also provides needs assessment, mediation, referrals, and advocacy as necessary and appropriate. Requests for accommodations or services must be arranged in advance and require
documentation of the disability, verifying the need for such accommodation or service. 