Statistical Methods Sta 2023 Crn 15831

STATISTICAL METHODS – STA 2023 CRN 15831 COURSE SYLLABUS Fall 2017: August 28 – December 18 Online INSTRUCTOR: Chelsea E. Myers – you may call me Professor (Prof.) Myers E-MAIL: Through Blackboard by clicking on “Messages” under “Course Materials”

CREDIT HOURS: 3 PREREQUISITE: Minimum grade of C in STA 1001C or MAT 1033C or MAC 1105 or satisfactory score on an approved assessment. TEXT: Stats: Modeling the World, Bock/Velleman/DeVeaux, 4th Edition. HOWEVER the text is not required. Electronic versions of all chapters are provided when students purchase access to MyStatLab OTHER MATERIALS: TI-84 Graphing calculator. Access to a reliable computer and internet connection with an up-to-date internet browser. Click “Start Here” on the course’s Blackboard page to make sure your internet browser is up to date. I recommend using Mozilla Firefox as your internet browser. MyStatLab software for course work: A MyStatLab software access code can be purchased from the Valencia’s bookstore or on-line at www.pearsonmylabandmastering.com. Use online homework registration code: myers75065. Students will be granted access to the software without paying for a period of 14 days. This means you can begin your coursework even if your financial aid has not come in yet. Students must obtain permanent access to the course by the end of the free trial period or notify me about financial aid issues or they may be dropped from the class. Students will access MyStatLab through the course’s Blackboard page. Click “Start Here” in Blackboard to view instructions for creating your MyStatLab account. COURSE DESCRIPTION: This is an introductory statistics course covering the collection, description and interpretation of data. Topics include sampling, summarizing data graphically and numerically, probability distributions, confidence interval estimation, hypothesis testing, correlation and regression. COURSE COMPETENCIES: This course seeks to reinforce the following Valencia Student Competencies: Think clearly, critically and creatively by analyzing, synthesizing, integrating and evaluating symbolic works and truth claims. Reflect on your own and others’ values from individual, cultural and global perspectives. Communicate by reading, listening, writing and speaking effectively. Act purposefully, reflectively and responsibly by implementing effective problem solving and decision making strategies.

ATTENDENCE AND PARTICIPATION: In an online class, attendance is checked by your participation in assigned work. In all your courses at Valencia it is essential to “attend” the first class. Any student who is absent for the first class will be removed as a “no- show” student. Therefore any student who does not submit an assignment for the first week will be removed as a “no-show” student. While the calendar at the end of the syllabus provides what I believe is the best pacing for the course material, most course work – with the exception Discussions 12 – 15 – can be completed ahead of time if that is best for your schedule. Any homework, quiz, exam or discussion not completed by the due date listed in the syllabus calendar will be considered late and not be graded. Work is due each week by 10:59 on Sunday night at the end of the week it is assigned. Always use your syllabus to determine when things are due. Any student who has completed no course work for two weeks may be dropped from the class. GRADING: Always check your grades in the gradebook in Blackboard. That – not MyStatLab - is the official record I will be using to determine final grades. Be aware that it usually takes a few minutes for grades to be updated from MyStatLab to Blackboard. If you notice a grade in Blackboard is still missing or incorrect after a few hours, let me know so I can force the grades to sync. Requirements Points possible Homework 464 Quizzes 160 Discussions 170 Mid-term Exams 200 Comprehensive Final Exam 100 TOTAL for course: 1094 GRADING SCALE: 984+ points (90+ %) A 875 – 983 points (80 - 89 %) B 765 – 874 points (70 - 79 %) C 656 – 764 points (60 - 69 %) D Below 656 points (below 60 %) F

HOMEWORK: On-line reading, videos and homework are assigned each week following the schedule at the end of the syllabus. Students have an unlimited number of attempts to answer each homework question, and accessing course material (watching videos, reading the text book, etc.) are counted as part of the homework grade. In Blackboard, click on “Homework” under “Course Materials” to access the homework in MyStatLab. Use Online Homework Registration Code: myers75065. Homework questions should be used as study material for the quizzes and mid-term and final exams. If you wish to view your homework after it is due, in MyStatLab, click on Gradebook on the left hand column. You must at least attempt a homework assignment to view it later (i.e. you will not be able to go back and view homework later if you don’t complete it before the deadline). QUIZZES: Students access online quizzes by clicking on “Quizzes” under “Course Materials” in Blackboard. Some quizzes will be given in Blackboard and some in MyStatLab. Students have 3 attempts at each quiz and will be awarded the highest score you earn. The schedule for quizzes is given in the course calendar at the end of the syllabus. If you can answer all the homework questions without assistance (looking at your book or notes or using a homework help feature), you will know you are prepared to do well on the quiz. Similarly, quiz questions are good practice for the exams. DISCUSSIONS: Students access discussions by clicking on “Discussions” under “Course Materials” in Blackboard. Discussions allow students to interact with each other and with me, your instructor, and to delve more deeply into certain topics in the course. The schedule for discussions is given in the course calendar at the end of the syllabus. Be aware that the discussions will take you some time to do. Do not leave them for the last minute! Additionally, there is a Study Group discussion thread for students to connect with each other to form study groups. EXAMS: Two mid-term exams and one final exam will be given during the semester as listed in the syllabus. Students will take the exams in Blackboard on their own personal computer and are allowed to use study aids. However, students will only have one opportunity to complete each exam. Students access online exams by clicking “Exams” under “Course Materials in Blackboard. The final exam must be completed by 11 pm on Saturday, December 16. MAKE-UPS AND LATE WORK: Because this is an online class and students have maximum flexibility to complete coursework there will be no make-up assignments and no credit will be given for late work. Notify me as soon as possible if extenuating circumstances make it difficult for you to complete your assignments on time. EXTRA CREDIT: There are two opportunities to earn extra credit points on each exam. First, students may earn 5 extra credit points by studying with a classmate either in-person or virtually (by phone, Skype, etc.) and posting to the “I Studied With A Classmate For Exam X” discussion board found by clicking “Discussions” under “Course Tools”. Students will write who they studied with and what was discussed. Each student in the group must create his or her own post to receive credit. Second, students may earn 5 extra credit points for getting help from a Valencia tutoring center or accessing online tutoring (SmartThinking) and posting to the “I Got Help From A Math Support Center For Exam X” discussion board found by clicking “Discussions” under “Course Tools”. Students must post what resource was used and what was discussed to receive credit. There is an additional opportunity to earn 5 points of extra credit on the final exam by completing the Student Feedback on Instruction survey and posting to the “I completed the SFI” discussion post. These extra credit discussion posts are separate from the regular class discussions that must be completed as part of your grade. I wholeheartedly encourage you to use the SmartThinking free online tutoring in Blackboard. Every semester students say this is one of the most helpful resources in the class. It is available 24/7.

HELP AND TUTORING:

Each Valencia campus has tutoring and math support resources listed here:

Winter Park Campus – “Math Support Center” – Building 1 – Room 138 East Campus – “Math Center” – Building 4 – Room 108 West Campus – “Math Center” – Building 7 – Room 240 Osceola Campus – “Math Depot” – Building 4 – Room 121 Lake Nona – “Tutoring Center” – Building 1 – Room 230 You are encouraged to visit the campus most convenient to you to ask for help in-person. Math tutoring is also available for free online by clicking on “Free Online Tutoring” under “Resources” in Blackboard. Again, I encourage you to use the free online tutoring early and often. WITHDRAWAL: The Drop/Refund Deadline is September 5 at 11:59pm. The withdrawal (W) deadline for this session is November 10 at 11:59pm. It is the student’s responsibility to withdraw through Atlas. Withdrawal after the deadline due to attendance is at the discretion of the instructor. Notice to Students Seeking to Withdraw from a Course(s): Before you withdraw from a course, you should be aware that course withdrawals: • Will increase the cost of your education • May affect your financial aid status • May affect your transfer grade point average • May result in your having to pay the full cost of instruction fee to retake the course • May affect your anticipated graduation date • May result in your being denied access to limited access programs • May affect your eligibility for the Honors Program • May affect your immigration status if you are attending Valencia on a nonimmigrant visa • Will result in your required repayment of course fees paid by a Bright Futures scholarship.

STUDENTS WITH DISABILITIES: Students with disabilities that qualify for academic accommodations must provide documentation from the Office for Students with Disabilities (OSD), preferably in the first two weeks of class. For information contact the Winter Park OSD ([email protected] ) HONESTY: Representing another's work as your own or allowing such conduct on the part of a fellow student is cheating. Such behavior will not be tolerated in this class and incidents will be handled according to the college policy on academic honesty. http://valenciacollege.edu/generalcounsel/policy/documents/Volume8/8-11-Academic-Dishonesty.pdf

VALENCIA ID CARDS:

Valencia ID cards are required for LRC, Testing Center, and IMC usage. No other form of ID at those locations will be accepted. Possession and utilization of a Valencia ID is mandatory in order to obtain these services. CLASSROOM CONDUCT: Students are expected to behave in a manner that encourages an atmosphere of respect in the classroom. This is equally true in an online “classroom”. Valencia Community College is dedicated not only to the advancement of knowledge and learning but is concerned with the development of responsible personal and social conduct. By enrolling at Valencia Community College, a student assumes the responsibility for becoming familiar with and abiding by the general rules of conduct. The primary responsibility for managing the classroom environment rests with the faculty. Students who engage in any prohibited or unlawful acts that result in disruption of a class may be directed by the faculty to leave the class. Violation of any classroom or Valencia’s rules may lead to disciplinary action up to and including expulsion from Valencia. Disciplinary action could include being withdrawn from class, disciplinary warning, probation, suspension, expulsion, or other appropriate and authorized actions. You will find the Student Code of Conduct in the current Valencia Student Handbook. http://valenciacollege.edu/generalcounsel/policy/documents/Volume8/8-03-Student-Code-of-Conduct.pdf In this online course, students should not:

 Show disrespect for other students or the instructor.

 Send messages that are threatening, harassing or offensive.

 Use inappropriate or offensive language.

 Convey a hostile or confrontational tone when communicating or working collaboratively with other students.

 USE ALL UPPERCASE IN THEIR MESSAGES – THIS IS THE EQUIVALENT OF SHOUTING!!!

COMPUTER/EQUIPMENT USE POLICY:

Use of computers in the Business, IT, and Public Service classrooms at Valencia Community College is restricted to those activities designated by the instructor to enhance the class materials. Any other use is strictly forbidden. Inappropriate use includes, but is not limited to: Use of computer to send E-mail or access Internet sites not specifically assigned in class; use of computer for job, internship, homework or other activities not assigned in class; modifying any hardware or software system configuration or setting; activities not in accordance with the Valencia Student Code of Conduct; use of computers in the departmental open lab is limited to those activities involved with preparing homework or coursework in this department and is subject to the same restriction as listed above. Computer use is remotely monitored; any student using computers inappropriately may be subject to dismissal from class or banishment from the lab. Subsequent offense may be sent to the campus administration for further disciplinary action. Contact Blackboard/ATLAS/MyStatLab technical support for help using these programs.

MENTAL HEALTH:

Private, confidential mental health services are available to students. Call 1-800-878-5470 to speak to a counselor. COURSE SCHEDULE:

Week Topics Learning objectives Due August 28 –  Introduction  Understand course expectations  Create a permanent MyStatLab September 3  Chapter 1  Be able to identify the “5 Ws” of a data set account  Chapter 2 excluding  Know the difference between categorical and quantitative  Chapter 1 homework conditional data  Chapter 2 homework distributions  Display and describe categorical data using appropriate  Discussion 1: Introduce yourself tables and graphs  Discussion 2: Categorical Data in the News  Quiz 1 - Syllabus September 4 –  Chapter 3 excluding  Display and describe quantitative data using histograms  Drop/refund deadline September 5 September 10 dot plots and stem and and box plots  Chapter 3 homework leaf plots.  Understand and describe the shape, center, and spread of  Chapter 4 homework  Chapter 4 excluding a data set comparing dot plots  Discussion 3: Quantitative Data in  Calculate the mean, standard deviation and 5-number the News and stem and leaf plots summary using a calculator (students are not expected to do this by hand)  Quiz 2 - Chapters 1 – 4  Know when to use the mean/standard deviation or the median/IQR as the best summary of the center and spread of the data  Compare two data sets using histograms and box plots September 11 –  Chapter 5  Understand when the Normal model applies to a data set September 17  Calculate a z-score (standardized value) for a Normal model  Compare values measured on different scales using z- scores  Use the 68-95-99.7% rule to describe a Normal model  Find Normal percentiles and find a value of X using a percentile using a calculator September 18 –  Chapter 5 continued  See above  Chapter 5 homework September 24  Discussion 4: Building Bridges  Quiz 3 – Chapter 5  Discussion 5: Course Review

September 25 –  Chapter 6 excluding  Understand the conditions that must be met to calculate  “I studied with a classmate” and “I October 1 calculating correlation linear correlation got help at a math support center” by hand.  Identify independent and dependent variables extra credit discussion posts  Calculate correlation using your calculator  Exam 1 covering Chapters 1 – 5  Describe the strength and direction of a linear relationship  Chapter 6 homework from a graph and from a value of correlation  Discussion 6: Brrrrrrrrrr  Understand that correlation does not imply causation and know what a lurking variable is

October 2 –  Chapter 7 excluding R2  Understand the conditions that must be met to use a  Chapters 7 and 8 homework October 8  Chapter 8 just lurking linear regression model  Discussion 7: Chicken Sandwiches variables and  Calculate (using your calculator) and interpret the slope  Quiz 4 – Chapters 6, 7 and 8 causation, and intercept of a regression equation extrapolation, outliers,  Understand what a residual is and the information it leverage, influential provides points, and the idea of non-linear  Use a regression equation to find the expected value of relationships the dependent variable for values of the independent variable  Understand the effect of outliers and influential points on correlation and regression  Understand the idea of extrapolation October 9 –  Chapter 11  Understand why we conduct sample surveys and  Chapter 11 homework October 15  Chapter 12 excluding experiments and the differences between the two  Chapter 12 homework blocking and factors  Understand the ideas of examining part of the whole,  Discussion 8: Establishing Proof randomization and sample size in sample surveys  Quiz 5 – Chapters 11 and 12  Know the terms: bias, census, population parameter, sample statistic, simple random sample, sampling variability and representative  Describe the different types of sampling and the benefits and drawbacks of each  Understand the importance of blinding and placebos in an experiment

October 16 –  Chapter 13  Understand the terms: random phenomenon, trial,  Chapter 13 homework October 22  Chapter 14 just the outcome, event, sample space, complement, probability,  Chapter 14 homework independent and disjoint general addition rule  Discussion 9: Winning the Lottery (not conditional  Understand the Law of Large numbers and how it is probability or the different from the “Law of Averages”  Discussion 10: Course Review general multiplication  Understand the ideas of empirical and theoretical  Quiz 6 – Chapters 13 and 14 rule) probability  Create a Venn Diagram to answer a probability problem  Know the rules for formal probability and apply them  Apply the addition rule for disjoint events  Apply the multiplication rule for independent events  Apply the general addition rule October 23 –  Chapter 17 except  Understand the Central Limit Theorem and the  “I studied with a classmate” and “I October 29 questions about the assumptions and conditions required to use it to model got help at a math support center” binomial model the sampling distribution of the sample proportion and extra credit discussion posts sample mean  Exam 2 covering Chapters 6, 7, 8,  Model the sampling distribution of a sample proportion 11, 12, 13 and 14 and a sample mean (and understand the difference  Chapter 17 Homework Part 1 between the two)  Discussion 11: Data Collection  Determine the probability of seeing a certain sample mean or proportion given information about the population mean or proportion October 30 –  Chapter 17 continued  See above  Chapter 17 Homework Part 2 November 5  Discussion 12: Sampling Distributions November 6 –  Chapter 18  Know the assumptions and conditions that must be met to  Deadline to withdraw is November November 12 create a confidence interval for a proportion 10  Create and interpret a confidence interval for a proportion  Chapter 18 homework  Understand the terms margin of error and critical value  Discussion 13: Confidence Intervals  Understand how confidence level changes as you make  Quiz 7 – Chapters 17 and 18 decisions about the importance of accuracy vs. precision

November 13 –  Chapter 19  Know the assumptions and conditions that must be met to  Chapters 19 and 20 homework November 19  Chapter 20 test a hypothesis for a proportion  Discussion 14: Hypothesis Testing  Understand the rationale behind hypothesis testing  Quiz 8 – Chapters 19 and 20  Identify the appropriate null and alternative hypotheses in a scenario and conduct the appropriate hypothesis test  Calculate a p-value, interpret the results of a hypothesis test and understand how your conclusion will change with different significance levels  Understand the difference between significance and importance  Understand the ideas of type-I and type-II error and power November 20 –  Chapter 22  Know the assumptions and conditions that must be met to November 26 create a confidence interval for a mean  Create and interpret a confidence interval for a mean November 27 –  Chapter 22 continued  See above  Chapter 22 homework December 3  Discussion 15: Putting it all Together December 4 –  Final exam review  Review and prepare for the final exam  Discussion 16: Course Review December 10

December 11 –  Final exams  Final exam must be completed by 11pm Saturday,  “I studied with a classmate” and “I December 16 December 16 got help at a math support center” extra credit discussion posts  “I completed the SFI” extra credit discussion post  Final exam covering all course material focusing on Chapters 17 – 20 and 22 NOTICE: Changes in the schedule and procedures described in this syllabus may be made at the discretion of the instructor.