# Class Room Units Math 15 CRN Introductory Statistics AC Attendance Days (Hybrid Course)

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2 General student resources can be found at On-Line Resources Your text may have been shrink-wrapped with a MyMathLab packet. If so, you will be able to use an online program to help you study for this course and take practice tests. To see how to use the online program, go to the following web page: and follow the directions. You will need the following external information: Your Course Name: Elementary Statistics Fall 2013 Your Course ID: kick03802 Moorpark College zip code: You will also need the student access code from your packet included with your book. To register, you will need the web page: Each time you use MyMathLab, you will log in using the course compass web page. If you would like to buy the packet online, go to the mylab and mastering webpage listed above, enter the course ID, and click the Create option. Course Objectives Upon successful completion of the course, a student should be able to: 1 display data using methods from descriptive statistics by using histograms, frequency distributions, box-and whisker (five-number summary); find measures of central tendency for data sets: mean, median, and mode; find measures of variation for data sets: standard deviation, variance, and range; and distinguish between populations and samples. 2 find simple probabilities and probabilities of compound events and compute probabilities using the complement, discrete probability distributions and the binomial probability distribution. 3 standardize a normally distributed random variable, use normal distribution tables to find probabilities for normally distributed random variables and use the Central Limit Theorem to find probabilities for sampling distributions. 4 compute confidence intervals for proportions and means. 5 find and use p-values when performing hypothesis testing and perform hypothesis testing for means, proportions, standard deviations, difference of means, and difference of proportions. 6 find linear least-squares regression equations for appropriate data sets, graph least-square regression equations on the scatter plot for the data sets, and find and apply the coefficient of correlation. 7 use the Chi-Square distribution to test independence and to test goodness of fit. Students completing Math M15 or M15H will be able to: 1. Construct a histogram for a given set of data. This can be done by hand or with a graphing calculator. 2. Construct a single-sample confidence interval, and draw an appropriate conclusion. This can be done by hand or with a graphing calculator. 3. Construct a single-sample hypothesis test based on a given claim, and draw an appropriate conclusion. This can be done by hand or with a graphing calculator. 70% of students enrolled in Math M15 and M15Hwill correctly answer 70% of these problems during or after the 13th week of class. A stratified sample of the student responses will be selected from each section and graded.

3 Homework and Classwork Regular participation in class discussions, as well as participation in small group work is expected. Absences negatively effect your education, as well as the education of your peers. Absences will result in zeros those days missed. Three or more absences can result in a student being dropped from the course. HOMEWORK WILL BE COLLECTED AND RETURNED ON EACH EXAM DAY. Quizzes A short quiz will be given for each textbook chapter. Each quiz will be timed, but students have more than enough time to complete all questions provided they do all homework before taking quizzes. Quizzes cannot be made up. Projects A two-part project will be assigned during the semester. The first part will require that you collect and present data using both graphical and computational methods. The second portion of the project will require that you use statistical inference to draw conclusions about the data collected in the first part of the project. Projects provide opportunities for you to apply your knowledge of statistical methods to real life settings. Appropriate uses of technology are expected. Extra credit may be given for projects that exceed traditional expectations. Exams Four exams and a final exam will be given on campus throughout the semester. Chapter exams will cover three chapters of material from the textbook. The final exam will be cumulative, and will be given on Wednesday, December 18, Your final exam score will be used to replace your lowest exam score if that final exam score is higher than your lowest exam score. No makeup exams will be given. Suggestions for Success Do the homework and ask questions, both in class and online, about topics that you don t fully understand. This course is very dependent on knowledge of vocabulary and experience with specific processes. It will be very difficult to solve problems on exams if you have not practiced solving similar problems on your own and in small groups. Grading Policy Homework Class / Online Participation Chapter Quizzes Exams Project Final Exam 120 points 160 points 120 points 400 points 100 points 200 points Important Dates Last day to add class: 30 Aug 2013 (Fri) Last day to drop without a "W": 06 Sep 2013 (Fri) Last day to drop with a "W": 22 Nov 2013 (Fri) Project Part 1 DUE: Project Completed DUE: 27 Oct 2013 (Sun) 08 Dec 2013 (Sun) Chapters 1 through 3 test 11 Sep 2013 (Wed) Chapters 4 through 6 test 09 Oct 2013 (Wed) Chapters 7 through 9 test 06 Nov 2013 (Wed) Chapters 10, 11, and 13 test 04 Dec 2013 (Wed) Final Exam 18 Dec 2013 (Wed) Course Documents All documents for this course, including the one you are reading, will be stored within the Desire2Learn course shell. Electronic documents will be provided on the site to help support your understanding of the course material. These documents will be in the form of PDF files, videos, web pages, and Java Applets. Learning Resources Students enrolled in this course are encouraged to use The Learning Center, The Math Center, and the Writing Center services to support their efforts in this class. The Learning Center, Math Center, and Writing Center, located in Library 322, will provide tutorial services and supplemental instruction based on course goals. When using these services, students need to state their instructor s name for tracking and reporting purposes. Students will also need to provide their student ID numbers when receiving tutorial services. For further information call The Learning Center (805) , the Math Center (805) ext 1775 or the Writing Center (805) ext 1696.

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