Statistics 7: Basic Statistics

Summer Session 1
Department of Statistics
University of California, Irvine

Cartoon Source: www.causeweb.org

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Course Syllabus
Class Locations and Times
Instructor and TA Office Hours
R Commander
Data Sets Used in Class and on Homework
Class Calendar: Material covered, handouts, and homework assignments by day
Homework Solutions
Sample Exams

ANNOUNCEMENTS

Register your iclicker to receive credit for clicker questions! "Student ID" is your 8-digit UCI ID number; "Remote ID" is your iclicker's serial number (on the back of your iclicker). For more information on iclickers, click here.

GRADE DISPUTE REQUEST FORM (doc): Grade disputes will only be considered during the last week of summer session. If you would like to submit a request for a grade dispute on any of the homeworks or midterm exams, download and fill out this form (read the directions carefully!), then turn it in to Prof. Hancock along with the homeworks and/or midterms that you are contesting any time between the dates of Monday, July 29 to Thursday, August 1 at 5pm.

Course Syllabus

Download the course syllabus here.

Additional information on purchasing the required textbook.

For the book companion website, click here.
Rossman and Chance applets.

Class Locations and Times

Lecture (37820)
Tue/Thurs 1:00-3:50pm

Engineering Lecture Hall 110

Discussion

Tue/Thurs 4-4:50am, ELH 110

Instructor and Teaching Assistant Office Hours

Please post any questions about homeworks, course material, lectures, discussions, etc. on our course message board: https://eee.uci.edu/boards/y13/stats7 rather than emailing your instructor or TA. (You will have to log in to EEE to view the message board).

Professor	Teaching Assistant
Dr. Stacey Hancock	Jason Kramer
2204 Donald Bren Hall	Office Hours: 2032 DBH
(949) 824-9795	no phone
staceyah_at_uci.edu	jskramer_at_uci.edu
Wed 10:00am-12:00pm or by appointment	Mon 3:00-5:00pm

R Commander

Installing R and R Commander and Getting Started

R Commander Handouts and Instruction Sheets

Worksheet to Practice Using R Commander (pdf)

To start R Commander, open R and then type:
```
library(Rcmdr)
```
R is case-sensitive, so if you type "Library(Rcmdr)" or "library(rcmdr)", R will not recognize the command.

R Commander Introduction and Examples (Discussion July 2)

Data Sets

Data sets used in textbook:

To read SPSS files into R Commander go to Data --> Import data --> from SPSS data set...

To read Excel files into R Commander, you first need to open the data file in Excel, then save as a .csv file. Then follow instructions below.

Data Sets Using in Lecture, Discussion or on Homework

All data sets are .csv files (comma separated values). To read into R Commander:

Click Data --> Import data --> from text file, clipboard, or URL...
Enter a name for your data set if desired.
Click "Internet URL" under "Location of Data File".
Click "Commas" under "Field Separator".
Click OK.
Type the URL for the data set into the black and click OK. Note: R Commander may not let you copy and paste the link location, but you can right click on the desired data set below, click "Copy Link Location", and then paste it into a text editor to see the full URL address.

Week 2 EEE Survey: Heights and Weights (Raw or Clean)

Class Calendar

This calendar will be updated after each class. Check back periodically for required reading, homework assignments, lecture slides, and extra references.

Date	Material Covered and Required Reading (Tentative schedule; may be updated after each class)	Date HW Due	Assignment
Week 1:
Tue. June 25	Lecture 1 Slides (Updated 9pm Tue. June 25) Unit 1: Collecting Data and Drawing Conclusions - Topics 1-5. Read: "To the Student" (p. xxi-xxii), Topics 1-5 (p. 1-89). Watch: The Joy of Stats with Hans Rosling (for Tue. July 2) Do: Activities 2-6, 4-3.	Tue. July 2	HW #1: Exercises - Topic 1: 1-7(e-h), 1-14; Topic 2: 2-10, 2-13, 2-19(a-b); Topic 3: 3-9, 3-29; Topic 4: 4-20(a-c); Topic 5: 5-14, 5-25. Scanned HW: Topic1, Topic2, Topic3, Topic4, Topic5
Thurs. June 27	Lecture 2 Slides (Updated 9am Fri. June 28) Unit 2: Summarizing Data - Topics 7-10. Read: Topics 7-10 (p. 127-211). Do: Activities 8-6, 9-5, 10-2.	Tue. July 2	HW #1 (cont): Exercises - Topic 7: 7-17, 7-25; Topic 8: 8-35; Topic 9: 9-11, 9-14; Topic 10: 10-28. Plus additional problems here. Scanned HW: Topic7, Topic8, Topic9, Topic10 Data set from Activity 8-1
Week 2:
Tue. July 2	Lecture 3 Slides Unit 7: Relationships in Data - Topics 26-28. Unit 2: Summarizing Data Topic 6. Read: Topics 26-28 (p. 569-634), Topic 6 (p. 101-114) Do: Activities 28-1, 28-2.	Tue. July 9	HW #2:
Thurs. July 4	HOLIDAY -- NO CLASS OR DISCUSSION
Week 3:
Tue. July 9	Unit 3: Randomness in Data - Topics 11-15.	Tue. July 16	HW #3:
Thurs. July 11	Unit 4: Inference from Data: Principles - Topics 16-20.	Tue. July 16	HW #3 (cont):
Week 4:
Tue. July 16	Unit 4: Inference from Data: Principles - Topics 16-20. Midterm Exam: 3:30-5pm You may use one 8.5x11 inch sheet of notes, front and back, written or typed.	Tue. July 23	HW #4:
Thurs. July 18	Unit 5: Inference from Data: Comparisons - Topics 21-23.	Tue. July 23	HW #4 (cont):
Week 5:
Tue. July 23	Unit 6: Inferences with Categorical Data - Topics 24-25.	Tue. July 30	HW #5:
Thurs. July 25		Tue. July 30	HW #5 (cont):
Week 6:
Tue. July 30	Unit 7: Relationships in Data - Topic 29.
Final Exam: TBA	The final exam is comprehensive. You may use two 8.5x11 inch sheets of notes, front and back, written or typed.

Homework Solutions

Homework solutions will be posted the evening homework is due (or early the next morning).

Homework Assignment	Solutions
HW#1:
HW#2:
HW#3:
HW#4:
HW#5: