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.
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.
Upon successful completion of this course, students should be able to:
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.
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.”
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.
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.
See the Carolinian Creed in the Carolina Community: Student Handbook & Policy Guide.
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.
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.
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.
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 | 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%) |
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 | |||
9-11 | HW 3 | 9-13 | Lec 3.1,3.2 |
9-15 | Lec 3.3,3.4 |
Pre-lab 4 | ||
9-18 | Review |
9-20 | Lab 4 |
9-22 | Exam I |
Pre-Lab 1 | ||
9-25 | Lec 5.1,5.2 |
HW 4 | 9-27 | 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 | 11-08 | Lab 8 | 11-10 | 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.
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 | 9-24 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 | 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 | |||
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 |
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 |
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 |
Chapter | Slide | Note | Additional Material |
---|---|---|---|
1 | Ch1 | D1 | RC/D1 |
2 | Ch2 | D2, D3, D4 | RC/D2,Ex/30p,43p, RC/D3,Ex/51p,59p, RC/D4,Ex/65p |
3 | Ch3 | D5, D6, D7 | RC/D5,Ex/39p,44p, Reg_Ex |
5 | Ch5 | D8, D9, D10 | Ex/13p,22p, RC/D8,Ex/23p,32p,34p, RC/D9, Ex/35p,36p,37p |
6 | Ch6 | D11, D12, D13, D14 | RV/HW,Ex/4p, RC/D11,Ex/23p,26p,28p, z-score,Ex/47p_ab,49p_ab, Ex/49p_c,48p_b |
7 | Ch7 | D15, D16, D17 | Ex/17p_ab, Review,Ex/17p,26p,CLT, RC/D16,Ex/30p,31p |
8&9a | Ch8&9a | D18, D19, D20 | RC/D17,Ex13p, CI&Sample_Distn, RC/D19,Ex/26p,27p |
8&9b | Ch8&9b | D21, D22. D23 | CI for Mean,Ex14p, Ex/14p,22p, Duality,Ex26p,Errors |
10 | Ch10 | D24, D25, D26 | Ex12p, Ex/16p,22p, Ex/24p,Summary |
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 |
Material |
---|
Tutoring Center Information |
z-Table |
Tips on EWA for Lab6, General Guide Line, Grading Sheet |
t-table |
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 |