Announcement
This course introduces SAS and SPSS, and statistical inference using them: Information Sheet.
Important Notes you should know
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Instructor: |
Dr. Shenghua Kelly Fan |
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Lecture Time & Classroom: |
TTh 8:00 pm—9:50 pm at Sc N207 |
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Office hours: |
TTh 3:15-3:50 pm 7:00 pm—7:50 pm |
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E-mail address: |
kelly.fan@csueastbay.edu |
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Office/phone number |
Sc N 318/ (510)8853428 |
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Website |
www.sci.csueastbay.edu/~sfan |
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Schedule: TBA in Class |
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Lecture Notes: (subject to minor change) |
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Link to software Minitab: click here
Rules for homework:
1) Please write your name, homework #, and course number on the first page.
2) Please write your answers in complete sentences, not just numbers, and indicate which question and part you are answering.
3) Label all figures and tables such as figure 1, figure 2, table 1, table 2, and then cite them in the text when necessary.
4) Please don’t include all outputs!! Only include the necessary outputs and make them readable and in proper scale.
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Week # |
Assignment Sets |
Due Date |
Handouts/dataset |
SAS code/ Solutions |
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0 |
warm-up |
N.A. |
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1 |
hw#1 |
Oct 17 |
SAS_ch6 | 3900_hw#1solution |
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2 |
hw#2 |
Oct 24 |
SAS | hw#2_solution |
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3 |
hw#3 |
Nov 2 |
broker.sas | hw#3solution |
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4 |
hw#4 |
Nov 7 |
hw#4solution | |
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5 |
hw#5 |
Nov 14 |
qn2.txt | hw#5solution |
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6 |
hw#6 |
Nov 21 |
SAS_regression dataset: multi-regression.txt dataset: qn2.txt (parent, math) |
hw#6solution |
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7 |
hw#7 |
Dec 5 |
SAS_crosstabs dataset: qn2.txt |
hw#7solution |
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8 |
no homework |
N.A. |
ancova dataset: qn.txt |
SAS code |
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| Assignment | Date/Due | Coverage | Solutions | Remark |
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Midterm Test |
10/31 |
every thing up to and including one-way ANOVA | close book but notes are allowed. | |
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Project |
11/28 |
everything up to and including regression | ||
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Final Exam |
12/15 |
everything |
Four project topics: topic 1 topic 2 topic 3 topic 4
Final Exam
You must bring your student ID and calculator with you!! The final exam will be comprehensive and accumulative exam which covers all materials taught in the course; 20% for before midterm and 80% for after midterm. The exam will hold at NS 207 from 8:00pm-9:50 pm, Dec 12. It is close book but open notes.