COURSE INFORMATION

General Information

Instructors

Lecture Information

  • Time: Monday / Friday 1:10 - 2:00
  • Location: LeConte 210

Lab Information

  • Time: Wednesday 1:10 - 3:05
  • Location: LeConte 200A (section 7) / 205 (section 8) / 124 (section 9)

Structure of Class Time

  • Each section will have two 50-minute lectures and a 115-miniute lab each week.
  • Section 7, 8 and 8 meet together for lecture and separately for lab.
  • Occasionally, a lecture is scheduled in place of a lab. On these days, the class meets in the lecture room at the normal lecture time.

Miscellany

  • Office Hours: M 1:00-2:00 pm, T/Th 1:00-2:30 pm or by appointment
  • Syllabus: Download

Course Outline

Purpose and Description

To provide students a non-calculus based introduction to the application of modern statistical methods including descriptive and inferential statistics. To show students that statistics is an important research tool. An introductory course in the fundamentals of modern statistical methods. Topics include descriptive statistics, probability, random sampling, simple linear regression, correlation, tests of hypotheses, and estimation.

Laboratory

In each lab session, students will work in teams under the guidance of a lab instructor to collect data, using appropriate measurement technology, to shed light on a posed research question. They then immediately analyze their data using a computer and modern statistical software. For all lab sessions, students will complete a series of short answer questions about the lab activity and results. For one lab session, each student will write an extended formal report of the lab session.

Learning Outcomes

Upon successful completion of this course, students should be able to:

  • Recall basic statistical terms with the ability to express them in the correct context
  • Employ appropriate methods for collecting data in a laboratory experiment
  • Apply basic concepts of probability including properties of sampling distributions, the normal distribution and the binomial distribution
  • Select and apply appropriate descriptive and inferential statistical methods for univariate and bivariate data
  • Use statistical software to apply descriptive and inferential statistical analyses including numerical summaries, graphical displays, linear regression, hypothesis testing and confidence intervals
  • Effectively explain findings from graphical displays, descriptive statistics and inferential statistical analyses
  • Compose a technical report for a laboratory experiment explaining data collection methods, statistical methods, and interpretation of results

Books

  • Textbook: Statistics: The Art and Science of Learning from Data, 4th ed., Agresti and Franklin, Pearson Education, Inc.
    MyStatLab, the course management system that we will use in the course, contains this textbook as an e-book. An access code to MyStatLab is required.
    1. Buy the hard copy custom edition of the textbook bundled with an access code to MyStatLab from a USC bookstore. Choose this option if you want a hard copy of the textbook.
    2. Buy the access code only for mystatlab.com. An e-book is included in the online course management system.

If (for whatever reason) you aren’t able to formally register this weekend, there is an option for temporary access (14 days) to this course on MyStatLab.

  • LabBook: Statistics Play-By-Play: Laboratory Experiments for Elementary Statistics, 1st ed., Petkewich and Edwards, Kendall Hunt Publishing. * Available in the bookstore.

Course Management System

MyStatLab: mystatlab.com (Pearson Course ID = kim46529) MyStatLab is an online course management system which includes the e-book, homework and other assignments. MyStatLab also includes access to StatCrunch.com, an online data analysis package that will be used with each lab and also with homework. MyStatLab will be demonstrated in class throughout the semester. Students who are not registered on MyStatLab when an assignment is due will receive a zero on those assignments including homework, labs, and pre-labs. These assignments cannot be made up. EVERY STUDENT must register for “MyStatLab.”

Attendance

You are expected to attend all classes and to arrive on time. If you are planning to leave earlier, give the instructor prior notice. Attendance will be recorded for each class meeting (lectures and labs). If you miss a class, you are responsible for all material and announcements covered in class on that day.

Email

Students are expected to check email on a regular basis. Even if a student fails to check email for messages, the student is still responsible for any announcements made using email.

Honor Code and Student Conduct

See the Carolinian Creed in the Carolina Community: Student Handbook & Policy Guide.

Computer Facilities

Homework requires the use of a computer with internet access. Computers are available for student use at the following campus locations: Gambrell. Check these locations for hours. Account information will be available at the first lab meeting for use on computers in the STAT 201 lab rooms.

Tutoring Infomation

Students seeking tutoring for STAT 201 are encouraged to contact the Student Success Center, located on the Mezzanine level of the Thomas Cooper Library. You may contact them at 803-777-1000, sassc@mailbox.sc.edu or http://www.sc.edu/success/appointments.html.

Student Disability Resource Center

If you qualify for accommodations because of a disability, please submit a letter from the Student Disability Resource Center prior to the first exam so that your needs may be addressed. The Student Disability Resource Center determines accommodations based on documented disabilities. You may contact them at 803-777-6142, LeConte 112A.

Assignment & Grading

Grading

  • Homework (15% or 90 points)
    Homework testing the concepts taught in lecture will be posted in MyStatLab throughout the semester. Students will submit their answers online and receive feedback on responses. A date and time for closing each assignment are on the syllabus and on this course web-page. Expect 10 assignments worth 9 points each. A 30% penalty will be imposed on all late assignments and these will only be accepted up to 7 days after the due date. If you have technical difficulties with MyStatLab, you must notify me 24 hours before the assignment is due to receive consideration for an extension.

  • Class Activities (5% or 30 points)
    There will be several unannounced brief activities in class that count towards a class participation grade. You must be present in class to receive credit for these activities. If you miss an activity because you are late to class, then you will not receive credit for that activity. The two lowest grades of a student will be dropped. That is, you may miss two class activities without penalty.

  • Short Answer Writing Assignments - SAWA (15% or 90 points)
    For all eleven lab sessions, you will be required to complete a series of short answer questions to be collected. Each SAWA will be completed and turned in at the lab meeting. Each SAWA is worth 9 points. The lowest SAWA grade will be dropped. If you miss a lab, then that is the lab that will be dropped. Students may work together in answering SAWA questions, but each student must turn in an assignment to receive credit.

  • Pre-labs (5% or 30 points)
    You will be given a pre-lab assignment on MyStatLab due before each lab (except for Lab 5). Each pre-lab is worth 3 points. A 30% penalty will be imposed on all late assignments and these will only be accepted up to 3 days after the due date.

  • Extended Writing Assignment - EWA (5% or 30 points)
    For Lab Session 6, an extended writing assignment (EWA) will be assigned. This is a detailed technical writing report that discusses the lab experiment, statistical methods, and results. Greater detail on this paper will be provided later. It is very important for you to attend this lab which is scheduled on 10/18. If you miss this lab for a valid reason but do not notify me of your situation in a timely manner (prior to or the day of the lab), then you will receive a zero on the EWA. ** A 25% penalty will be imposed on all late papers and these will only be accepted up to a week after the due date.** Individual work is required on the EWA. Students may proof-read each other’s papers, but original writing is required from each student.

  • Exams (About 11.67% or 70 points each)
    There will be 3 in-class exams. Make-up exams will be considered only in extreme circumstances and documentation will be required. Also, you must notify me prior to the exam or the day of the exam if you think your situation merits a make-up. Exam dates are on the schedule at the end of the syllabus. If you miss an exam for a valid reason but do not notify me of your situation in a timely manner (prior to or the day of the exam), then you will receive a zero on the exam.

  • Final Exam (20% or 120 points)
    A comprehensive final exam will be given according to the University’s exam schedule. Make-up final exams will be considered only in extreme circumstances and documentation will be required. Also, you must notify me prior to the final exam or the day of the final exam if you think your situation merits a make-up. If you miss the final exam for a valid reason but do not notify me of your situation in a timely manner (prior to or the day of the exam), then you will receive a zero on the final exam. If the score on the final exam is higher than the score of the lowest regular exam, then it will be used to replace the regular exam score. Students may not exempt the final exam.

Caution: Students who are not registered on Pearson MyStatLab will receive a zero on the homework, pre-labs, SAWA and EWA.

Assignment Summary Points Percentage
Homework 90 15%
Class Activities 30 5%
SAWAs (Labs) 90 15%
PreLabs 30 5%
EWA 30 5%
Exam I 70 11.67%
Exam II 70 11.67%
Exam III 70 11.67%
Final Exam 120 20%
Total 600 100%

Grading Scale

Grading Scale Score
A 540-600 points (90-100%)
B+ 522-539 points (87-89.9%)
B 480-521 points (80-86.9%)
C+ 462-479 points (77-79.9%)
C 420-461 points (70-76.9%)
D+ 402-419 points (67-69.9%)
D 360-401 points (60-66.9%)
F less than 360 points (<60%)

COURSE SCHEDULES

Class Schedule

Mondays Wednesdays Fridays
Date Chapter Assignment Date Chapter Assignment Date Chapter Assignment
8-25 Lec 1.1,1.2 Pre-Lab 2
8-28 Lec 2.1-2.3 HW 1 8-30 Lab 2 9-01 Lec 2.4,2.5 Pre-Lab 3
9-04 Labor Day HW 2 9-06 Lab 3 9-08 Lec 3.1,3.2 Pre-Lab 4
9-11 Lec 3.3,3.4 Irma HW 3 9-13 Lab 4
Lec 3.1,3.2
9-15 Review
Lec 3.3,3.4
Pre-lab 4
9-18 Exam I
Review
9-20 Lec 5.1,5.2
Lab 4
9-22 Lec 5.3
Exam I
Pre-Lab 1
9-25 Lec 5.4
Lec 5.1,5.2
HW 4 9-27 Lab 1
Lec 5.3,5.4
9-29 Lec 6.1
10-02 Lec 6.2 10-04 Lab 5 10-06 Lec 6.2 HW 5
10-09 Lec 6.3 10-11 Review 10-13 Exam II Pre-Lab 6
10-16 Lec 7.1 10-18 Lab 6(EWA) 10-20 Fall Break Pre-Lab 7
10-23 Lec 7.2 HW6 10-25 Lab 7 EWA 10-27 Lec 8.1,8.2
10-30 Lec 9.1 HW7 11-01 Lec 9.2 11-03 Review Pre-Lab 8
11-06 Exam III 11-08 Lab 8 11-10 Lec 8.3
Exam III
Pre-Lab 9
11-13 Lec 8.3,9.3 HW8 11-15 Lab 9 EWA/Due 11-17 Lec 9.4,9.5
11-20 Lec 10.4 11-22 Thanksgiving 11-24 Thanksgiving Pre-Lab 10
11-27 Lec 10.2 HW9 11-29 Lab 10 12-01 Lec 10.3 Pre-Lab 11
12-04 Lec 10.1 HW10 12-06 Lab 11 12-08 Review

Final Exam: Wednesday Dec. 13th at 12:30 pm in the lecture room.
University Registrar’s schedule for the final exam date and time.

Assignment Schedule

Homework Schedule

HW # Related Chapters Release Due Late Due (30% Penalty)
1 1.1,1.2 8-28 2:00 PM 9-03 10:00 PM 9-10 10:00 PM
2 2.1-2.6 9-04 2:00 PM 9-10 10:00 PM 9-17 10:00 PM
3 3.1-3.4 9-11 2:00 PM 9-17 9-20 10:00 PM 9-24 10:00 PM
4 5.1-5.4 9-25 2:00 PM 10-01 10:00 PM 10-08 10:00 PM
5 6.1-6.3 10-06 2:00 PM 10-12 10:00 PM 10-19 10:00 PM
6 7.1,7.2 10-23 2:00 PM 10-29 10:00 PM 11-05 10:00 PM
7 8.1,8.2,9.1,9.2 10-30 2:00 PM 11-05 10:00 PM 11-12 10:00 PM
8 8.3,9.3 11-13 2:00 PM 11-19 10:00 PM 11-26 10:00 PM
9 10.2 11-27 2:00 PM 12-03 10:00 PM 12-10 10:00 PM
10 10.4 12-04 2:00 PM 12-10 10:00 PM 12-12 10:00 PM

Pre-Lab Schedule

Pre-Lab Release Due Late Due (30% Penalty)
Lab 2 8-25 2:00 PM 8-30 12:50 PM 9-02 10:00 PM
Lab 3 9-01 2:00 PM 9-06 12:50 PM 9-09 10:00 PM
Lab 4 9-08 9-15 2:00 PM 9-13 9-20 12:50 PM 9-16 9-23 10:00 PM
Lab 1 9-22 2:00 PM 9-27 12:50 PM 9-30 10:00 PM
Lab 6 10-13 2:00 PM 10-18 12:50 PM 10-21 10:00 PM
Lab 7 10-20 2:00 PM 10-25 12:50 PM 10-28 10:00 PM
Lab 8 11-03 2:00 PM 11-08 12:50 PM 11-11 10:00 PM
Lab 9 11-10 2:00 PM 11-15 12:50 PM 11-18 10:00 PM
Lab 10 11-24 2:00 PM 11-29 12:50 PM 12-02 10:00 PM
Lab 11 12-01 2:00 PM 12-06 12:50 PM 12-09 10:00 PM

EWA Schedule

Lab 6 10-18 Wednesday
Lab Report Return 10-25 Wednesday
Due Date of EWA 11-15 Wednesday
Late Submission Due Date 11-21 Tuesday

Daily Schedule

Date Chapter Tentative Topic Assignment
F-8-25 1.1,1.2 Syllabus, Using Data, Sample Versus Population Pre-Lab 2
M-8-28 2.1-2.3 Types of Data, Graphical Summaries, Measures of Center HW 1
W-8-30 Lab 2 Exploring Data w/ Graphical Displays & Numerical Summaries
F-9-01 2.4,2.5 Measuring Variability, Describing Variability Pre-Lab 3
M-9-04 No Class Labor Day HW 2
W-9-06 Lab 3 Variability Due to the Measuring Instrument
F-9-08 3.1,3.2 Association B/w 2 Categorical and 2 Quantitative Variables Pre-Lab 4
M-9-11 3.3,3.4 Predicting Outcomes and Cautions in Analyzing Associations HW 3
W-9-13 Lab 4 Using Regression for Prediction
F-9-15 Review Chapter 1, 2, 3
M-9-18 Exam I Chapter 1-3
W-9-20 5.1-5.2 Randomness, Finding Probabilities
F-9-22 5.3 Conditional Probability Pre-Lab 1
M-9-25 5.4 Applying Probability Rules HW 4
W-9-27 Lab 1 Sampling a Population
F-9-29 6.1 Summarizing Possible Outcomes and their Probabilities
M-10-02 6.2 Probabilities for Bell-Shaped Distributions
W-10-04 Lab 5 An Application of Probability Distributions
F-10-06 6.2 Probabilities for Bell-Shaped Distributions HW 5
M-10-09 6.3 Probabilities for Observation w/ 2 Possible Outcomes
W-10-11 Review Review Chapter 5, 6
F-10-13 Exam II Chapter 5, 6 Pre-Lab 6
M-10-16 7.1 How Sample Proportions Vary Around the Pop. Proportion
W-10-18 Lab 6 A Binomial Experiment (EWA)
F-10-20 No Class Fall Break Pre-Lab 7
M-10-23 7.2 How Sample Means Vary Around the Population Mean HW6
W-10-25 Lab 7 Sampling Distribution of the Sample Mean EWA
F-10-27 8.1,8.2 Point/Interval Estimates / C.I. for Population Proportion
M-10-30 9.1 Steps for Performing a Significance Test HW7
W-11-01 9.2 Significance Tests about Proportions
F-11-03 Review Review Chapter 7, 8.1-8.2, 9.1-9.2 Pre-Lab 8
M-11-06 Exam III Chapter 7, 8.1-8.2, 9.1-9.2
W-11-08 Lab 8 Inference for a Population Proportion
F-11-10 8.3 Constructing CI for Population Mean Pre-Lab 9
M-11-13 9.3 Significance Tests about Means HW8
W-11-15 Lab 9 Inference for a Population Mean EWA/Due
F-11-17 9.4,9.5 Constructing CI for Population Mean
M-11-20 10.4 Analyzing Dependent Samples
W-11-22 No Class Thanksgiving Day
F-11-24 No Class Thanksgiving Day Pre-Lab 10
M-11-27 10.2 Quantitative Response: Comparing Two Means HW9
W-11-29 Lab 10 Comparing 2 Population Means w/ Dependent Samples
F-12-01 10.3 Other Ways of Comparing Means and Comparing Proportions Pre-Lab 11
M-12-04 10.1 Categorical Response: Comparing Two Proportions HW10
W-12-06 Lab 11 Comparing 2 Population Means w/ Independent Samples
F-12-08 Review Review
W-12-13 Final Exam 12:30 PM in LeConte 210

COURSE MATERIALS

Exam Materials

Exam Practice Exam Solution Additional Material
Exam I Practice Exam I Pr Exam I Solution
Exam II Practice Exam II Pr Exam II Solution Template for Formula Sheet
Exam III Practice Exam III Pr Exam III Solution Template for Formula Sheet
FINAL Practice Exam Pr Final Solution N/A

LECTURE LOG

Date Topics Covered Reference
8/25 We went over syllabus and started Ch1. Day1 Note; Ch1 Slide
8/28 After reviewing Ch1, we proceeded to Ch2 and finished up to the p29 of the slide. Day2 Note; Ch2 Slide
8/30 Lab 2 was done.
9/01 We learned the measures of center and variability. Day3 Note; Ch2 Slide
9/06 Lab 3 was done.
9/08 We finished Chapter 2. The 1st class activity was done by Kahoot. Day4 Note; Ch2 Slide
9/13 We started Chapter 3 and finished up to the correlation. Day5 Note; Ch3 Slide
9/15 We finished Chapter 3. Practice exam was distributed. Day6 Note; Ch3 Slide
9/18 We took a look a regression example and reviewed practice exam 1. Day7 Note; Reg_Ex; Pr Exam I Solution
9/20 Lab 4 was done.
9/22 We took the 1st exam.
9/25 Exam 1 paper was returned. We started Ch5. Day8 Note; Ch5 Slide
9/27 We took a look independene and conditional probability. Day9 Note; Ch5 Slide
9/29 We almost finished Ch5. The 2nd class activity was done by Kahoot. Day10 Note; Ch5 Slide
10/02 We started Ch6. Day11 Note; Ch6 Slide
10/04 Lab 5 was done.
10/06 We talked about binomial random var. as an important application of discrete random var. Day12 Note; Ch6 Slide
10/09 We took a look normal radom var. as an important application of continuous random var. Day13 Note; Ch6 Slide
10/11 We covered the examples and reviewed the practice exam. Day14 Note; Practice Exam
10/13 We took the 2nd exam.
10/16 We started Chapter 7. Exam 2 paper was returned. Day15 Note; Ch7 Slide
10/18 Lab 6 was done. This is the lab for the EWA.
10/23 We covered sampling distributions and central limit theorems. Day16 Note; Ch7 Slide
10/25 Lab 7 was done.
10/27 We finished Chapter 7. The 3rd class activity was done by Kahoot. Day17 Note; Ch7 Slide
10/30 We took a look confidence interval for propotion. Day18 Note; Ch8&9a Slide
11/01 We talked about the relation b/w CI and sampling dist’n and the introduction of hypo. testing. Day19 Note; Ch8&9a Slide
11/03 We took a look the Testing concept once again and finised two examples. Day20 Note; Ch8&9a Slide
11/06 We reviewed the practice exam III. Practice exam and solution
11/08 Lab 8 was done.
11/10 We took the 3rd exam.
11/13 We talked about confidence interval for population mean. Exam 3 paper was returned. Day21 Note; Ch8&9b Slide
11/15 Lab 9 was done. EWA was collected.
11/17 We discussed the width of CI and took a look hypothesis test for population mean. Day 22 Note; Ch8&9b Slide
11/20 We talked about hypo. test for pop. mean. Day 23 Note; Ch8&9b Slide
11/27 We stated Ch 10 and covered CI part. Day 24 Note; Ch10 Slide
11/29 Lab 10 was done.
12/01 We took a look hypothesis testing for comparing two population means. Day 25 Note; Ch10 Slide
12/04 We saw an example of dependent sample design. EWA was returned. Day 26; Ch10 Slide
12/06 Lab 11 was done.
12/08 We reviewed the practice final exam. Pr Final Solution
12/13 Final Exam