Statistics 7: Basic Statistics

Spring 2013

Department of Statistics

University of California, Irvine

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Course Syllabus
Class Locations and Times
Instructor and Teaching Assistant 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
Midterm Exam Solutions
Final Exam Solutions

ANNOUNCEMENTS

Register your iclicker to receive credit for clicker questions! Even if you registered it last academic year, you need to do it again each fall. "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.

Known typos in Mind On Statistics, 4th edition

Textbook options including online version, international edition and using the 3rd edition

GRADE DISPUTE REQUEST FORM (doc): Grade disputes will only be considered at the end of the quarter. 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 the Stats 7 Lecture A slot on the second floor of Donald Bren Hall along with the homeworks and/or midterms that you are contesting any time between the dates of Tuesday, May 28 to Friday, June 7 at 5pm.

Course Syllabus

Download the course syllabus here.

For the book companion website, click here.

Class Locations and Times

Lecture A (37800)
Mon, Wed, Fri 11:00-11:50am
Engineering Lecture Hall 100

Discussion Section	Teaching Assistant
1A: Fri 9:00-9:50am, PCSB 120	Mike Wojnowicz
2A: Fri 10:00-10:50am, PCSB 120	Mike Wojnowicz
3A: Fri 12:00-12:50pm, SSL 140	Cliff Anderson-Bergman
4A: Fri 1:00-1:50pm, SSL 140	Cliff Anderson-Bergman

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/s13/stats7 rather than emailing your instructor or TA. (You will have to log in to EEE to view the message board).

All TA office hours will be held in 2032 Donald Bren Hall. You may attend any TA's office hours, regardless of your discussion section.

Professor Stacey Hancock	Cliff Anderson-Bergman	Mike Wojnowicz
2204 Donald Bren Hall	Office Hours: 2032 DBH	Office Hours: 2032 DBH
(949) 824-9795	no phone	no phone
staceyah_at_uci.edu	cianders_at_uci.edu	mwojnowi_at_uci.edu
Mon 9:00-10:30am (Stats 7 preference) Wed 9:00-10:30am (Stats 120C preference) Thurs 2:00-3:30pm (Stats 112/203 preference) or by appointment	Thurs 12:00-2:00pm Fri 3:00-4:00pm	Mon 2:45-4:15pm Tue 1:15-1:45pm and 3:30-4:30pm

Office Hours by Day:

Mon
9-10:30 (Hancock)
2:45-4:15 (Wojnowicz)

Tue
1:15-1:45 (Wojnowicz)
3:30-4:30 (Wojnowicz)

Wed
9-10:30 (Hancock)

Thurs
12-2 (Anderson-Bergman)
2-3:30 (Hancock)

Fri
3-4 (Anderson-Bergman)

Finals Week Office Hours

Mon June 10
9-11am: Hancock (DBH 2204)
12-2pm: Anderson-Bergman (DBH 2032)
2-4pm: Wojnowicz (DBH 2032)

Tue June 11
No office hours today.
Final exam at 1:30-3:30pm in ELH 100.

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.

How to use R Commander for assignments from Chapters 2 and 3 (Word) or pdf
How to use R Commander for Contingency Tables (Section 4.4)
Using R Commander to find binomial probabilities

Data Sets

Link to data sets used in textbook (click on "Data Sets" in the menu on the left)

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.

Irvine Housing Prices (Lectures #5 and #6)
Manatee Data (Lectures #5 and #6)
Poverty Data Set (Exercise 3.97 - Used in Discussion 2)
sats98 Data Set (Exercise 3.100 - Homework #2)
Crack Growth Data Set (Lecture #11)

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:
Mon. Apr. 1	Lecture 1 Slides Introduction and syllabus; Chapter 1; Chapter 2, Sections 2.1-2.2.	Wed. Apr. 10	HW #1: 1.38, 2.26
Wed. Apr. 3	Lecture 2 Slides Lecture 2 Notes Chapter 2, Sections 2.3-2.6.	Wed. Apr. 10	HW #1 (cont): 2.35, 2.44abc, 2.48bcd and provide a 5-number summary of the data, 2.66a using side-by-side boxplots (not dotplots), 2.72
Fri. Apr. 5	Finish Lecture 2 slides. Lecture 3 Slides Chapter 2, Section 2.7.	Wed. Apr. 10	HW #1 (cont): 2.92 EEE Quiz #1 opens at 2pm.
Discussion	Activity #1: Exploring relationships between categorical variables.
Week 2:
Mon. Apr. 8	Lecture 4 Slides Lecture 4 Notes Chapter 2, Section 2.7; Chapter 3, Section 3.1.	Wed. Apr. 10	HW #1 (cont): 2.96ab, 2.113 EEE Quiz #1 closes at 6pm.
Wed. Apr. 10	Lecture 5 Slides Lecture 5 Notes Chapter 3, Sections 3.2-3.5.	Wed. Apr. 17	HW #2: 3.14, 3.22
Fri. Apr. 12	Lecture 6 Slides (Updated Apr. 15) Lecture 6 Notes Finish Chapter 3. Start Ch. 4, Sections 4.1-4.2.	Wed. Apr. 17	HW #2 (cont): 3.48, 3.82, 3.100* Use R Commander for 3.100 (counts double). EEE Quiz #2 opens at 2pm.*
Discussion	R Commander Demo Install R and R Commander before coming to discussion; bring your laptop (if you have one) to discussion.
Week 3:
Mon. Apr. 15	Finish Lecture 6 slides on Section 4.2. Updated Lecture 6 slides to include odds ratio: Lecture 6 Slides More Lecture 6 Notes	Wed. Apr. 17	HW #2 (cont): 4.10, 4.26, 4.28, 4.66 EEE Quiz #2 closes at 6pm.
Wed. Apr. 17	Lecture 7 Slides Lecture 7 Notes Chapter 4, Section 4.4.	Fri. Apr. 26	HW #3: 4.52, 4.54, 4.58* *Use R Commander.
Fri. Apr. 19	Finish last few slides of Lecture 7. Lecture 8 Slides Chapter 4, Section 4.3; Chapter 5, Section 5.2.	Fri. Apr. 26	HW #3 (cont): 4.38, 15.16a-e* Yes, Chapter 15 Exercise 15.16. You may use R Commander or Table A.5 (p. 674) for part d. EEE Quiz #3 opens at 2pm.*
Discussion	Activity #2: Randomization tests for 2x2 tables.
Week 4:
Mon. Apr. 22	Finish Lecture 8 slides on Section 5.2. More Lecture 8 Notes Random rectangles population - use for Random Rectangles survey.	Fri. Apr. 26	HW #3 (cont): 5.30, 5.36, 5.118 EEE Quiz #3 closes at 6pm.
Wed. Apr. 24	Lecture 9 Slides Chapter 5, Sections 5.1 and 5.3-5.5.	Fri. Apr. 26	HW #3 (cont): 5.16, 5.52
Fri. Apr. 26	Catch up and review; start Chapter 6 if time. Lecture 10 Slides (Review) (updated after lecture) Lecture 10 Notes		No homework assignment. EEE Quiz #4 opens at 2pm.
Discussion	Review for Midterm Exam 1
Week 5:
Mon. Apr. 29	Midterm Exam 1: Chapters 1-5. Important information and study guidelines for Midterm Exam 1. Formulas you should know for Midterm Exam 1. Clicker questions (and answers) from Chapters 1-5. Sample exams problems and solutions.		EEE Quiz #4 closes at 6pm.
Wed. May 1	Lecture 11 Slides Chapter 6, Sections 6.1-6.2.	Fri. May 10 by 5pm	HW #4: 6.6, 6.14, 6.28
Fri. May 3	Lecture 12 Slides Lecture 12 Notes Chapter 6, Sections 6.3-6.4; Chapter 7, Sections 7.1-7.3.	Fri. May 10 by 5pm	HW #4 (cont): 6.36, 6.48, 7.18, 7.28 EEE Quiz #5 opens at 2pm.
Discussion	Hand back and go over midterm 1 exam.
Week 6:
Mon. May 6	Finish Lecture 12 Slides More Lecture 12 Notes Lecture 13 Slides Chapter 7, Sections 7.4-7.5. Additional reference on "Baby Jeff" example.	Fri. May 10 by 5pm	HW #4 (cont): 7.46, 7.94, 7.102 EEE Quiz #5 closes at 6pm.
Wed. May 8	Finish Lecture 13 Slides No new lecture slides. Lecture 13 Notes
Fri. May 10	Finish Lecture 13 Slides Lecture 14 Slides Lecture 14 Notes Finish Chapter 7; Start Chapter 8, Sections 8.1-8.2.	Fri. May 17 by 5pm	HW #5: 7.56, 7.100, 8.16, 8.18 EEE Quiz #6 opens at 2pm.
Discussion	Activity #3: The Monty Hall problem. YouTube video explaining the problem.
Week 7:
Mon. May 13	Finish Lecture 14 Slides Lecture 15 Slides Chapter 8, Sections 8.3-8.4.	Fri. May 17 by 5pm	*HW #5 (cont): 8.102, 8.42, 8.52, 8.114** *Use R commander to find binomial probabilities. EEE Quiz #6 closes at 6pm.
Wed. May 15	Lecture 16 Slides Lecture 16 Notes Chapter 8, Sections 8.5-8.6. (Skip Sections 8.7-8.8).	Fri. May 17 by 5pm	*HW #5 (cont): 8.68, 8.71+8.73* (count as one)** *Use Table A.1 (or R commander) to calculate normal probabilities.
Fri. May 17	Finish Lecture 16 Slides Lecture 17 Slides Lecture 17 Notes Catch up and review for Midterm Exam 2.		EEE Quiz #7 opens at 2pm.
Discussion	Review for Midterm Exam 2
Week 8:
Mon. May 20	Midterm Exam 2: Ch. 6-8. Important information and study guidelines for Midterm Exam 2. Formulas you should know for Midterm Exam 2. Clicker questions (and answers) from Chapters 6-8. Sample exams problems and solutions.		EEE Quiz #7 closes at 6pm.
Wed. May 22	Lecture 18 Slides Chapter 9, Sections 9.1-9.5.	Wed. May 29	HW#6: 9.14, 9.24, 9.32, 9.45, 9.54
Fri. May 24	Finish Lecture 18 Slides Lecture 19 Slides Lecture 19 Notes Chapter 9, Section 9.9; Chapter 10, Sections 10.1-10.4.	Wed. May 29	HW#6 (cont): 9.136(bc), 10.14, 10.34(acd), 10.38, 10.58 (use 98% confidence level) No quiz this week. Quiz #8 will cover Weeks 8-9.
Discussion	Activity #4: Simulating sampling distributions for one sample proportion. Reese's Pieces Applet: http://statweb.calpoly.edu/chance/applets/Reeses/ReesesPieces.html
Week 9:
Mon. May 27	Memorial Day Holiday: No class or office hours
Wed. May 29	Finish Lecture 19 Slides Lecture 20 Slides Chapter 12, Sections 12.1-12.4.	Wed. June 5	HW#7: 12.14b+12.16b (count as one), 12.28, 12.51, 12.60b+12.61b (count as one), 12.68
Fri. May 31	Finish Lecture 20 Slides Lecture 21 Slides Chapter 9, Sections 9.5-9.8.	Wed. June 5	HW#7 (cont): 9.64, 9.70, 9.74, 9.80, 9.103 EEE Quiz #8 opens at 2pm.
Discussion	Activity #5: Randomization test for a difference in sample means. Randomization Test Applet: http://www.rossmanchance.com/applets/randomization20/Randomization.html
Week 10:	*Professor Hancock will be out of the country this week.*
Mon. June 3	TA will hold lecture: Lecture 22 Slides Chapter 11, Sections 11.1-11.5.	Fri. June 7	HW#8: 11.20, 11.32, 11.42, 11.48, 11.56 EEE Quiz #8 closes at 2pm.
Wed. June 5	TA will hold lecture: Lecture 23 Slides Chapter 13, Sections 13.1-13.5.	Fri. June 7	HW#8 (cont): 13.14, 13.24, 13.37, 13.71+13.72 (count as one), 13.98ab
Fri. June 7	TA will hold lecture: Lecture 24 Slides Ch. 9-13 catch up.		No clicker/quiz points this week.
Discussion	Review for Final Exam
Final Exam: Tue. June 11 1:30-3:30pm	The final exam is comprehensive. You may use two 8.5x11 inch sheets of notes, front and back, written or typed. Important information and study guidelines for Final Exam. Formulas you should know for Final Exam. Clicker questions (and answers) from Chapters 9-13. Sample exams problems and solutions.

Homework Solutions

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

Some abbreviations may be used when grading the assignments. Explanations of the abbreviations are here.

Homework Assignment	Solutions
HW #1: Exercises 1.38, 2.26, 2.35, 2.44abc, 2.48bcd and provide a 5-number summary of the data, 2.66a using side-by-side boxplots (not dotplots), 2.72, 2.92, 2.96ab, 2.113.	Homework #1 Solutions
HW #2: Exercises 3.14, 3.22, 3.48, 3.82, 3.100* (R Commander - counts double), 4.10, 4.26, 4.28, 4.66.	Homework #2 Solutions
HW #3: Exercises 4.52, 4.54, 4.58* (Rcmdr), 4.38, 15.16a-e* (Rcmdr), 5.30, 5.36, 5.118, 5.16, 5.52.	Homework #3 Solutions
HW #4: Exercises 6.6, 6.14, 6.28, 6.36, 6.48, 7.18, 7.28, 7.46, 7.94, 7.102.	Homework #4 Solutions
HW #5: Exercises 7.56, 7.100, 8.16, 8.18, 8.102, 8.42, 8.52* (Rcmdr), 8.114, 8.68, 8.71+8.73 (count as one).	Homework #5 Solutions
HW #6: Exercises 9.14, 9.24, 9.32, 9.45, 9.54, 9.136bc, 10.14, 10.34acd, 10.38, 10.58 (use 98% conf. level).	Homework #6 Solutions
HW #7: Exercises 12.14b+12.16b, 12.28, 12.51, 12.60b+12.61b, 12.68, 9.64, 9.70, 9.74, 9.80, 9.103.	Homework #7 Solutions
HW #8: Exercises 11.20, 11.32, 11.42, 11.48, 11.56, 13.14, 13.24, 13.37, 13.71+13.72 (count as one), 13.98ab.	Homework #8 Solutions

Sample Exams

Midterm Exam 1 Sample Problems: Midterm Exam 1 will be a mix of multiple choice questions and of free-response questions. Below are examples of both types of problems. Note that there are many more sample questions than the number of questions that will actually be on the exam.

Midterm Exam 2 Sample Problems: Midterm Exam 2 will be a mix of multiple choice questions and of free-response questions. Below are examples of both types of problems. Note that there are many more sample questions than the number of questions that will actually be on the exam.