STATISTICS 212 Spring 2017 Introduction to Statistical Methods

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1 STATISTICS 212 Spring 2017 Introduction to Statistical Methods Lecture Instructors: Office Phone: Office Number Office Hours Prof. Dean Johnson (509) Neill 414 T: 9:30-11am; TH 10-11am Mark Lesperance (509) Neill 400B MTW 11am-noon Lab Teaching Assistants: Ziyi Chen Phat Chau ; Kellan Toman Rui Huang ; Juan Luo Amit Sengupta ; Yingzi Li Ben Wiedeback ; Debasmita Das Section Day/time Instructor 01 Tu 8:10-1:00am Das, Debasmita 03 M 12:10-2:00pm Chau, Patrick pchau@math.wsu.edu 04 Tu 2:10-4:00pm Luo, Juan jluo@math.wsu.edu 05 Th 2:10-4:00pm Sengupta, Amit asengupta@math.wsu.edu 06 W 12:10-2:00pm Toman, Kellan ktoman@math.wsu.edu 07 W 5:10-7:00pm Chau, Patrick pchau@math.wsu.edu 08 Tu 10:10a,-12:00pm Li, Yingzi Yingzi_li@wsu.edu 09 Th 10:10am-12:00pm Huang, Rui rhuang@math.wsu.edu 10 M 3:10-5:00pm Toman, Kellan ktoman@math.wsu.edu 11 Tu 4:10-6:00pm Sengupta, Amit asengupta@math.wsu.edu 12 W 3:10-5:00pm Li, Yingzi Yingzi_li@wsu.edu 13 W 8:10-10:00am Chen, Ziyi zchen@math.wsu.edu 14 W 10:10am-12:00pm Luo, Juan jluo@math.wsu.edu 15 F 12:10-2:00pm Huang, Rui rhuang@math.wsu.edu 16 Th 4:10-6:00pm Wiedeback, Ben Benjamin.wiedeback@wsu.edu 17 M 10:10am-12:00pm Chen, Ziyi zchen@math.wsu.edu 18 F 10:10am-12:00pm Wiedeback, B Benjamin.wiedeback@wsu.edu The TA office hours are posted in Blackboard. TA office hours will be held in the Math Learning Center. Text: Statistics:Custom Edition for Wahington State University Pullman; Pearson. (MyStatLab access is sufficient as it will contain an online version of the text). Course Description: The course will cover various aspects of statistics. These include data collection, data summarization, exploratory data analysis and some inferential techniques. Course features: Problem solving, critical thinking, wide selection of real world problems, historical perspective, writing assignments and comprehensive computer use. Course Goals: Upon completing Stat 212 students should be able to demonstrate competency of the learning goals by: 1. Developing the critical knowledge and skills for collecting and analyzing data from a variety of real life problems using statistical concepts and data interpretation. 2. Logically applying statistical and probabilistic concepts, rules, and assumptions to practical situations or problems. 3. Developing an awareness of how statistical methods are used to measure social attitudes and opinions, or to assess the effectiveness of one experimental treatment over another (e.g., comparing the effectiveness of one drug over another). 4. Understanding the relationship between populations and samples, being able to quantify variability as a measure of uncertainty in everyday life and how to appropriately use statistics for logical decision making. 5. Using verbal, symbolic and graphical elements of expression to present quantities and relationships in an organized fashion. Math Learning Center: Successful students make use of available resources, so don't struggle when help is just a few steps away! We want you to succeed, we're here for you, and we have FREE tutoring available in the Math Learning Center (Cleveland 130). Tutoring begins Monday, January 9 th. The webiste for the MLC is Utilization of the MLC will be included in your grade. Points will be awarded on a weekly basis excluding the first week. Up to the first exam, you are required to spend at least one hour per week in the MLC (make sure to swipe your ID when entering and exiting so your time can be tracked). After the first exam, your

2 attendance will be based on your exam grades. If your average exam grade is less than 70%, you are required to spend at least two hours per week in the MLC. If your average exam grade is between 70% and 89.9%, you are required to spend at least one hour per week in the MLC. If your average exam gradse is 90% or above, then you will not have any required hours (i.e. for average exam grades of 90% and above MLC utilization will not be required, the points will be awarded automatically). We will drop the two lowest scores for MLC utilization. MLC utilization will account for 2% of your final grade. Note Cards: Each week,that is not review, the first or last week, you will be required to submit a 4 x 6 note card with notes from the material reviewed from the textbook and lectures (i.e. you will need to read/review the material for that week s matieral and make note of important formulas and concepts (see example note card for week 1). Note cards will be due by 4:00pm on each Friday in which a note card is due. You will turn these into the gray notecard box located on the fourth floor of Neill hall next to Neill 400B. These note cards will account for 2% of your final grade. In addition, they will serve as your formula sheets for the exam. There are 10 total note cards to complete. We will drop the two lowest note card scores. We will not provide any formula sheets for the exams, so it is to your benefit to complete these note cards. Note cards will be returned the following week in Lab Learning Catalytics/Attendance: In order to increase interaction and student involvement we will use learning catalytics during the lectures. Learning Catalytics is an online tool in which you can work problems and the lecturuer can see results in real time so we can work more examples and you can have the opportunity to discuss the concepts as a class and with thoie around you. It also incorporates attendance into the grade. 60% of the points for each problem will be for

3 participation. The other 40% will be for correctness. The questions will be a mixture of short answer, calculations and multiple choice problems. In the event, we determine using Learning Catalytics is not feasible on the scale of a lecture, then we will revert to an attendenace only policy. We will drop the 5 lowest Learning Catalytics scores (or 3 attendances if we are only able to use attendance as a basis for the grade). Learning Catalytics/Attendance will count for 3% of your final grade. You will need to bring a web enabled device to lecture in order to do Leanring Catalytics. Exams (Tests/Final): There will be two mid-term exams and a comprehensive final this semester. The first midterm will be on Monday, February 27 th from 7:00pm-8:15pm.. The second midterm is on Monday, April 3 rd from 7:00pm-8:15pm. The final is on Tuesday, May 2 nd from 7:00pm-10:00pm. Please plan accordingly. Each mid-term will be worth 20% of your final grade. The final is worth 20% of your final grade. All exams will be closed book. A calculator is allowed. You will also need to print and bring the Normal table to exam 1, the Normal and t-table to exam 2, and the Normal table, t-table and Chi-squared table to the final exam. You may also use your note cards for reference. No other resources will be provided nor allowed. Homework Assignments Homework will be assigned throughout the semester. The homework will be accessed through MyStatLab (or MyMathLab). There will be 18 assignments. Each assignment will cover one to three sections of material. We will drop the lowest 3 assignments (i.e. the highest 15 percentages will be used). A missed homework assignment is a zero. The assignments all have a final due date of 5/2/2017. However, you should work them as we cover them so you stay up with the material and are prepared for the exams. The homework assignments are set up to allow unlimited attempts. If you miss a multiple choice question more than twice, it will generate a new question. For calculation questions, a new question will be generated after three failed attempts. After you have completed the homework, you can use it for review, just make sure when entering the assiginment, you choose the for review option so that it will not change/alter your score. Lab Assignments: You are expected to complete the required lab assignments. There will be 13 lab assignments and the lowest three will be dropped. Each lab will be worth 15 points. Your lab grade will then be scaled to 15% of the final grade. If you have difficulty with homework or lab work, you should seek help from your TA or lecturer during office hours. The labs will incorporate material from STATCRUNCH and some interactive experiments as well as additional problem sets. The first two labs are online assignmentsin MyStatLab but you should attend lab as well to meet your TA and to get assistance if needed to sign up for MyStatLab and to discuss your projects. The lab is designed to supplement the material from lecture. It is not a replacement for lecture and the TA s will not use lab time to lecture other than for clarification purposes Project: There will be a project in this course. Your topic will be Why do I have to take Stat 212?. This will involve a written paper of approximately pages in length. The project will be worth 3% of your final grade. See the section in Blackboard titled Project for a complete description of the project assignment. The project is dues by 4:00pm on Friday, January 27 th. It will be turned into the Note Card box. Grading: MIDTERM 1 EXAM 20% MIDTERM 2 EXAM 20% FINAL EXAM (Comprehensive) 20% HOMEWORK 15% LAB ASSIGNMENTS(Attendance required) 15% PROJECT 3% NOTE CARDS 2% LEARNING CATALTYTICS/ATTENDANCE 3% MATH LEARNING CENTER (MLC) UTILIZATION 2% Gading Scale: A (93%-100%); A- (90%-92.99%); B+ (87%-89.99%); B (83%-86.99%) B- (80%-82.99%); C+ (77%-79.99%); C (73%-76.99%); C- (70%-72.99%) D+ (66%-69.99%); D (60%-65.99%); F(0%-59.99%) You can keep track of your grades on BlackBoard ( ). If a mistake occurs in entering one of your grades, you must let me know no later than two weeks after the entering of the grade. Please note that the MyStatLab only updates scores in Blackboard every few hours. Please do not the instructor about a mismatch between MyStatLab and Blackboard gradebooks. Honor Code: You are expected to follow the code of conduct that befits a WSU student. Using unfair means for assignments or exams will be referred to the Office of Student affairs.

4 Disability Accomodation Policy: Students with Disabilities: Reasonable accommodations are available for students with a documented disability. If you have a disability and need accommodations to fully participate in this class, please either visit or call the Access Center (Washington Building 217; ) to schedule an appointment with an Access Advisor. All accommodations MUST be approved through the Access Center. Safety and Emergency Notification: Washington State University is committed to enhancing the safety of the students, faculty, staff, and visitors. It is highly recommended that you review the Campus Safety Plan ( and visit the Office of Emergency Management web site ( for a comprehensive listing of university policies, procedures, statistics, and information related to campus safety, emergency management, and the health and welfare of the campus community. The following is a schedule for topics in this class. The schedule is tentative and may be adjusted as needed to accommodate the pace at which we actually are able to cover the material. Week 1: 1/9 1/15 Introduction lecture MyStatLab walk-through Project Overview Section 1.1 The practice of statistics Section 1.2 Types of studies Section 1.3 Simple Random Sampling Section 1.4 Other sampling processes Section 1.5 Bias in sampling Lab 1 Week 2: 1/16 1/22 No Class on Monday 1/16 Martin Luther King, Jr. Day--ALL UNIVERSITY HOLIDAY Section 2.1 Organizing Qualitative Data (Bar Charts and Pie Charts) Sections 2.2 and 2.3 Organizing Quantitative Data (Histograms, Stem and Leaf displays and Time Series Graphs) Section 2.4 Graphical Misrepresentations Sections 3.1 and 3.3 Measures of Central Tendency (mean, median, mode and weighted average) Lab 2 Note card for Sections 3.1 and 3.3 due by 4:00pm on 1/20 in Note Card Box next to Neill 400B. Week 3: 1/23 1/29 Section 3.2 Measures of dispersion (range, quartiles, variance and standard deviation) Section Correlation Section 4.2 Least Squares Regression Lab 3 Project Due by 4:00pm on January 27 th on 1/27 in Note Card Box next to Neill 400B Note card for Sections 3.2, 4.1 and 4.2 due by 4:00pm on 1/27 in Note Card Box next to Neill 400B Week 4: 1/30 2/5 Section 4.3 Coefficient of Determination Section 5.1 Probability Rules Section 5.2 The addition rule and complements Lab 4 Note card for Sections 4.3, 5.1 and 5.2 due by 4:00pm on 2/3 in Note Card Box next to Neill 400B Week 5: 2/6 2/12 Section 5.3 Independence Section 5.4 Conditional Probability Section 4.4 Contingency tables Lab 5 Note card for Sections 5.3, 5.4 and 4.4 due by 4:00pm on 2/10 in Note Card Box next to Neill 400B Week 6: 2/13 2/19 Sections 3.4 z scores and percentiles Section 7.1 Uniform and Standard Normal distributions Section 7.2 Normal distributions other than the standard normal distribution and the t-distribution Lab 6 Note card for Sections 3.4, 7.1 and 7.2 due by 4:00pm on 2/17 in Note Card Box next to Neill 400B

5 Week 7: 2/20 2/26 Review (and finish any remaining material from weeks 1 through 6) Lab 7 Week 8: 2/27 3/5 Exam 1 Weeks 1 through 7 Monday, February 27 th from 7:00pm 8:15pm No Lab this week Section 8.1 Distribution of the sampling mean Section 9.2 Estimating a population mean Section 10.1 The language of hypothesis testing Note card for Sections 8.1, 9.2 and 10.1 due by 4:00pm on 3/3 in Note Card Box next to Neill 400B Week 9: 3/6 3/12 Section 10.3 Hypothesis tests for a population mean Triola 9.4 Inferences about two means dependent samples (paired) Triola 9.3 Inferences about two means Independent samples (pooled and Welch s) Lab 8 Note card for Sections 10.3 and Triola 9.3, Triola 9.4 due by 4:00pm on 3/10 in Note Card Box next to Neill 400B Week 10: 3/13-3/19 - No Class Spring Break Week 11: 3/20 3/26 Section 8.2 Distribution of the sampling proportion Section 9.1 Estimating a population proportion Section 10.2 Hypothesis test for a population proportion Lab 9 Note card for Sections 8.2, 9.1 and 10.2 due by 4:00pm on 3/24 in Note Card Box next to Neill 400B Week 12: 3/27 4/2 Review (and finish any remaining material from weeks 7 through 10) Lab 10 Week 13: 4/3 4/9 Exam 2 Covers weeks 7 through 11 Monday, April 3 rd from 7:00pm-8:15pm No Lab this week Triola Section 9.2 Inferences about two population proportions Section 12.1 Goodness of fit test Section 12.2 Test of Independence Note card for Sections 12.1, 12.2 and Triola Section 9.2 due by 4:00pm on 4/7 in Note Card Box next to Neill 400B Week 14: 4/10 4/16 Section 13.1 Analysis of Variance Section 13.2 Tukey s comparison Lab 11. Note card for Sections 13.1 and 13.2 due by 4:00pm on 4/14 in Note Card Box next to Neill 400B Week 15: 4/17 4/23 Finish any remaining material from weeks Section 10.6 Calculation of Type-II Error. Lab 12 Week 16: 4/24 4/30 Review Lab 13 Final Exam Covers entire course Tuesday, May 2nd from 7:00pm-10:00pm.

STA 225: Introductory Statistics (CT)

Marshall University College of Science Mathematics Department STA 225: Introductory Statistics (CT) Course catalog description A critical thinking course in applied statistical reasoning covering basic