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Intro to Statistics STAT 1222 SEC 090 5:00 pm - 6:15 pm MW Fretwell 121 Spring 2017 STAT 1222 - Introduction to Statistics. (3) Prerequisite: MATH 1100 or placement by the Department. Same topics as STAT 1220 with special emphasis on applications to the social and behavioral sciences. May not be taken for credit if credit has been received for STAT 1220 or 1221. This syllabus contains the policies and expectations I have established for STAT 1222. Please read the entire syllabus carefully before continuing in this course. These policies and expectations are intended to create a productive learning atmosphere for all students. Unless you are prepared to abide by these policies and expectations, you risk losing the opportunity to participate further in the course. I will conduct this class in an atmosphere of mutual respect. I encourage your active participation in class discussions. Each of us may have strongly differing opinions on the various topics of class discussions. The conflict of ideas is encouraged and welcome. The orderly questioning of the ideas of others, including mine, is similarly welcome. However, I will exercise my responsibility to manage the discussions so that ideas and argument can proceed in an orderly fashion. You should expect that if your conduct during class discussions seriously disrupts the atmosphere of mutual respect that I expect in this class, you will not be permitted to participate further. The standards and requirements set forth in this syllabus may be modified at any time by the course instructor. Notice of such changes will be by announcement in class or by written or email notice or by changes to this syllabus posted on the course website at http://math.uncc.edu/~dsdebruh/. Exams The system used to grade exams and distribute grade reports requires the use of Banner ID Number (800 number). When turning in exams, students will be required to show their University ID (or other government issued ID) and provide their Banner ID. Failing to so will result in earning a grade of zero for that particular exam. Each of the three midterm exams is worth a total of 100 points. There will be no makeup exams given for any reason. Period. If an exam is missed for any reason, it will be assigned a grade of zero. All work on exams, including the FINAL EXAM, must be neat and easy to follow and answers must be clearly labeled. Otherwise, full credit will not be obtained. No credit will be awarded for problems where more than one answer is given or the final answer is not clearly labeled. Each exam must be taken in class on the announced day or it cannot be taken at all. Students will not be allowed to have drinks or wear hats during the exams. Also cell phones and all other electronic devices besides an acceptable calculator must be turned off during exams. Except for multiple choice questions, all answers on all exams must be correct to four decimal places. Students are expected to get copies of old FINAL EXAMS either thru the instructor’s website, or one of the book stores by the second week of class. The old FINAL EXAMS should be used to prepare for the three midterm exams and the FINAL EXAM SCHEDULED FOR Thursday, May 4, 2017 from 11:30 am to 2:30 pm. Grading There will be one WeBWorK homework assignment graded during the semester worth a total of 20 points, three (3) midterm exams during the semester (each worth 100 points) and a comprehensive FINAL EXAM (scheduled for Thursday, May 4, 2017 from 11:30 am to 2:30 pm) worth 125 points. The lowest score of the three midterm exams (which does not include the Final Exam) will be dropped so the total number of points available for this class is 345. The standard 10% scale will be used to assign a course letter grade at the end of the semester. Note that the Math Department has a policy stating that the Final Exam grade must count for approximately a third or more of the course grade. Grade Total Points A B C D F 310 – 345 276 – 309 241 – 275 207 – 240 0 – 206 (90%) (80%) (70%) (60%) Grading for this course is based solely on your performance on the exams and homework. Grading is NOT BASED on your level of effort applied (inside or outside of the classroom) to this class or your thoughts/feelings about what grade you may think you may deserve. Calculator Only the Texas Instruments 89 (TI-89) calculator (or equivalent) or a calculator with lesser capabilities will be allowed for use on the tests and final exam. The department recommends the use of TI-83 or TI-84 as the instructors are equipped with these calculators. Students will be shown how to use the TI-83/84 in class. If you get any other calculator besides one of these two, you will be responsible for learning how to use it. You should keep a backup set of batteries with your calculator. Sharing calculators during exams will be considered cheating as will the use of calculators with higher capabilities than the TI-89. Use of calculators with internet access or the ability to store files during the exams and final will also be considered cheating. Calculators cannot be provided by the University or the instructor. Cell Phones and Other Electronic Devices (including iPod and tablet type devices) Any device with internet capabilities including but not limited to, computers, cell phones, smart watches and calculators are not permitted to be used during any of the exams or final exam. Scott DeBruhl http://www.math.uncc.edu/~dsdebruh [email protected] Fret 335-D Page 1 of 3 Revised Tuesday, December 27, 2016 Office hours are by appointment only Intro to Statistics STAT 1222 SEC 090 5:00 pm - 6:15 pm MW Fretwell 121 Spring 2017 Please make sure that cell phones are not set to go off during class (especially during exams), and iPod type (and other electronic) devices are turned off during class. This is not expected to be a problem, however, if it does become a problem, you will be asked to leave class – even if that means turning in an exam before finishing it (WITHOUT the opportunity to finish it later). Students will lose points on exams if his/her cell phone goes off any other type of electronic device (besides an acceptable calculator) is used. The use of phones or any other communication device during exams will be considered cheating. Answering a phone during an exam will result in the grade being reduced to zero (0). USE OF CAMERAS AND/OR CAMERA PHONES DURING EXAMS IS STRICTLY FORBIDDEN AND WILL BE CONSIDERED CHEATING. Incomplete Grade An incomplete grade will be given only in the event of serious health problems. It will not be given for the purpose of improving a grade at a later date. Homework There will be one on-line Homework assigned for credit and 4 other “practice” problem sets assigned in WeBWorK. The WeBWorK problems will set up around the second or third week of class. The assignment for class credit is due Wednesday, May 3, 2017. Answers for this assignment must be submitted on-line on or before the due date. Printed answers and late answers will not be accepted. No other homework will be assigned, however, each student is expected to work problems in the book at the end of each section identified on the syllabus until s/he thoroughly understands the all of the material and contact the instructor with any questions about any of the course material. Students are strongly encouraged to get the old final exams thru my website for use as study guide. Text: D. S. Shafer and Z. Zhang. Introductory Statistics. Published by Flatworld Knowledge http://students.flatworldknowledge.com/course/2541517 TENTATIVE COURSE SCHEDULE Section(s) Topic(s) 1.1 - 1.3 2.1 2.2 2.3 2.4 2.5 3.1 3.2 3.3 Introduction to statistics and presentation of data Organizing and presenting data; shapes of histograms Measures of central tendency (mean, median, and mode) Measures of variability (range, variance, and standard deviation) Percentile rank and z-score The Empirical Rule Sample spaces, events, and their probabilities Complements, intersections, and unions Conditional probability and independent events Exam 1 Chapters 1 – 3 4.1 4.3 5.1 5.2 5.3 5.4 6.1 6.2 6.3 Random variables; discrete probability distributions, mean and variance Factorials and Combinations Probability distributions for discrete random variables Mean and standard deviation of a discrete random variable The binomial distribution Continuous random variables The standard normal distribution General normal random variables Areas of tails of distributions The mean and standard deviation of the sample mean The sampling distribution of the sample mean; the Central Limit Theorem The sampling distribution of the sample proportion Exam 2 Chapters 4 – 6 7.1 7.2 7.3 7.4 8.1 8.2 8.3 Large sample estimation of a population mean Small sample estimation of a population mean; Student’s t-distribution Large sample estimation of a population proportion Sample size considerations Introduction to hypothesis testing; the critical value approach Large sample tests for a population mean The observed significance of a test 4.2 Scott DeBruhl http://www.math.uncc.edu/~dsdebruh [email protected] Fret 335-D Page 2 of 3 Revised Tuesday, December 27, 2016 Office hours are by appointment only Intro to Statistics STAT 1222 SEC 090 5:00 pm - 6:15 pm MW Fretwell 121 8.4 8.5 9.1 9.2 9.3 9.4 Small sample tests for a population mean Large sample tests for a population proportion Comparing two population means: large, independent samples Comparing two population means: small, independent samples Comparing two population means: paired samples Comparing two population proportions Exam 3 Chapters 7 – 9 10.1 10.2 10.3 10.4 10.5 10.6 10.7 10.8 Linear relationships between two variables The linear correlation coefficient The linear regression model The least squares regression line Inferences about the slope of the population regression line The coefficient of determination Confidence and prediction intervals A complete example Final Review Spring 2017 If the class falls behind this schedule, the “Final Review” time may be used for lecture Scott DeBruhl http://www.math.uncc.edu/~dsdebruh [email protected] Fret 335-D Page 3 of 3 Revised Tuesday, December 27, 2016 Office hours are by appointment only