Moraine Valley Community College Course Syllabus


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1 Moraine Valley Community College Course Syllabus Course Title: Business Statistics Course Number: MTH 212 Semester: Fall 2006 I Faculty Information A. Instructor: Kevin M. Riordan, M.A. B. Office Hours: By Appointment Only C. Mailbox: L200 D. E. Supplemental Course Website URL: II Course Identification A. Credit Hours: 4 B. Total Contact Hours: 4 Lecture: 4 Lab: 0 C. Class Meetings: Section MTH TR 6:00 7:50 pm D122 D. Prerequisites: Three and a half years of high school math, including precalculus or advanced algebra, and appropriate placement test score, or MTH 141 with a grade C or better. E. Catalog Description: Covers descriptive statistics, data presentation, analysis, and interpretation; sampling techniques, hypothesis testing for single and multiple samples; analysis of variance; selection of appropriate parametric and nonparametric statistical tests; correlation and regression, and multistep decision making techniques in a business environment. Students use a statistical computer software package to analyze and interpret data. Note: MTH 139 and MTH 212 cover the same basic core of statistics; however, MTH 212 moves at a faster pace, is more oriented toward business examples, and explores hypothesis tests to a greater depth. No more than four credit hours will be granted to students taking both MTH 139 and MTH 212. III Textbook/Supplies A. Required: Business Statistics: A DecisionMaking Approach by David Groebner, Patrick Shannon, Phillip Fry, and Kent Smith, 6 th Edition, Prentice Hall, B. Required: Graphing Calculator: TI83 is preferred.
2 IV Expected Outcomes for Student Learning A. General Education learning outcomes 1. Reasoning Identify and Solve Problems 2. Information Literacy Locate, evaluate, and use information effectively 3. Quantitative Analysis Analyze, interpret and apply numerical, graphical, and statistical data and concepts 4. Scientific Awareness Understand and apply the scientific method of inquiry 5. Technological Competency Use computer information systems and other technology effectively B. Course content learning outcomes 1. Identify population and sample; recognize and distinguish between quantitative and qualitative data, parameter and statistic; decide on a method of data collection; Identify sampling techniques. 2. Create and interpret the following: frequency tables, histograms, stemplot, boxplot, bar graph, pie chart; Compute and interpret the following: mean, median, mode, variance, standard deviation, 5 number summary, range, IQR and zscore. Use the Empirical rule to describe distributions. 3. Construct sample space and events for a probability experiment. Differentiate between classical, empirical and subjective probability. Analyze and interpret a probability statement. 4. Solve and interpret problems using the following rules: Multiplication, Addition, Complementary, Conditional, and Bayes Theorem. 5. Determine if events are: disjoint vs. not disjoint, independent vs. dependent, and complementary vs. not complementary. 6. Distinguish between discrete and continuous random variables; Identify a valid probability distribution; Construct probability distributions; Find mean (expected value), variance and standard deviation of a valid probability distribution and interpret the results in the context of the problem. 7. Identify all characteristics of a Binomial experiment; Find probabilities using Binomial distribution; Construct and graph Binomial distributions; Find the mean, variance and standard deviation of a Binomial distribution and interpret the results in the context of the problem. 8. Identify all characteristics of a Poisson experiment; Find probabilities using Poisson distribution; Construct and graph Poisson distributions; Find the mean, variance and standard deviation of a Poisson distribution and interpret the results in the context of the problem. 9. Find probabilities for normally distributed variables using the standard normal table; Find a specific data value of a normal distribution given the probability. Interpret the results in the context of the problem. 10. Describe all properties of sampling distributions of sample means (shape, center, and spread); Interpret the Central Limit Theorem; Apply the Central Limit Theorem to find probabilities of events using a sample mean. Interpret your results in the context of the problem. 11. Identify proper confidence interval estimate method. Check all required assumptions for using each method. Describe the relationship between sample size, confidence level, standard deviation, and a margin of error. Determine the required minimum sample size when estimating the population mean with a fixed confidence level. 12. Construct and interpret valid confidence intervals for the population mean based on one simple random sample
3 13. Construct and interpret valid confidence intervals for the population proportion based on one simple random sample. 14. Identify proper hypothesis testing methods; identify the null and the alternative hypotheses; describe Type I and Type II errors; identify and interpret significance level, describe the pvalue. 15. Perform hypothesis test about population mean based on one simple random sample: set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the pvalue, make a decision, and interpret your result in a context of the application. 16. Perform hypothesis test about population proportion based on one simple random sample: set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the pvalue, make a decision, and interpret your result in a context of the application. 17. Distinguish between two independent and dependent samples. 18. Perform hypothesis test about population means based on two independent simple random samples (pooled and not pooled cases): set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the pvalue, make a decision, and interpret your result in a context of the application. 19. Perform hypothesis test about population means based on two dependent (paired) simple random samples: set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the pvalue, make a decision, and interpret your result in a context of the application. 20. Perform hypothesis test about population proportions based on two independent simple random samples: set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the p value, make a decision, and interpret your result in a context of the application. 21. Perform hypothesis test about population variance (or standard deviation) based on one random sample: set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the p value, make a decision, and interpret your result in a context of the application. Perform hypothesis test about population variances (or standard deviations) based on two independent random sample: set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the pvalue, make a decision, and interpret your result in a context of the application. 22. Perform ANOVA tests: set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the pvalue, make a decision, and interpret your result in a context of the application. 23. Perform contingency analysis (chisquare test for independence): set up hypotheses, calculate the appropriate test statistic, sketch the sampling distribution, find the pvalue, make a decision, and interpret your result in a context of the application. 24. Perform correlation analysis and Linear Regression analysis: construct scatter plot, describe the linear relationship using the concept of the strength and association, compute and interpret the correlation coefficient, find the equation of the leastsquares regression line, compute coefficient of determination, use line for estimation where applies, and interpret results in the context of the problem. 25. Describe and compare the characteristics of the following distributions: binomial, poisson, normal, z distribution, tdistribution, chisquare, and Fdistributions. 26. Complete several assignments involving the use of hand calculator and computer software (for example, EXCEL or MINITAB) to analyze data sets and produce written reports explaining and interpreting the results in the context of the application. NOTE: This course is a problemsolving course. While solving problems, students will be required to: Describe the problem Identify the given information, as well as what the problem requires us to find Provide justification for any statistical techniques used to solve the problem Apply techniques and statistical tools appropriately INTERPRET the computational results in the context of the problem using complete English sentences  3 
4 This course requires each student to think beyond the formulas (which will be provided), and number crunching (using available technology where appropriate), so to concentrate on developing the critical thinking skills essential for success in today s world
5 V Classroom Policies/Procedures A. General Information Sheet: see attachment. B. Each student is responsible for adhering to the Code of Student Conduct as stated in the college catalog. C. Withdraw policy A student who does not withdraw officially from a course may receive a grade F, depending on course progress or course attendance, which will become a part of the student s permanent record. The withdraw date is listed in the General Information Sheet. D. Cellphone policy Faculty, staff, students and college visitors may not use and must silence cell phones, pagers, and other communication devices in all instructional areas which include: all labs and classrooms during instructional sessions, the Learning Resources Center/Library, the Assessment Services Center (B101), and other areas so designated by the college. E. Cheating/plagiarism policy (any academic dishonesty) Any occurrence of cheating/plagiarism (any academic dishonesty) will be officially documented by filling out the appropriate paperwork as designated by the subdivision office. Any person involved in any sort of cheating/plagiarism (any academic dishonesty) will receive a score of 0 on any assignment in question, and, at the discretion of the instructor, automatic failure for the course with no option to withdraw. F. Attendance and participation policy Class attendance and participation are essential for mastering the course objectives and for making successful progress in this class. Attendance will be taken each class at the beginning of the class period. In case of an absence from a class for any reason, student is responsible for the material covered in class as well as material in the textbook. More than three absences will result in automatic failure of the course. A student is not allowed to leave the classroom while taking a quiz or a test. G. Makeup policy There is NO MAKEUP (earlier or later) for any reason for any missed test/quiz/activity/project or any other assignment. Any missed/late assignment will earn a score of zero. See Grading/Evaluation for more details. At the instructor s sole discretion, a student may elect to take an exam prior to the scheduled test date in the testing center by giving the instructor at least one week s notice. Students are limited to one test taken in the testing center per semester. H. Extra Credit policy No extra credit will be available for this course. There is free math tutoring by mathematics faculty and qualified students available in the Academic Skills Center in B260 on a walkin basis. (See General Information Sheet). You are encouraged to see me if you are having difficulties mastering the objectives of this course. I will be very happy to meet with you to discuss any problems you are having
6 VI Grading/Evaluation A. Homework You should plan to spend at least 8 hours per week outside of class studying and doing homework. Homework will be assigned for all material covered in class. Homework may include problems from the book as well as any other problems assigned by the instructor (from any source, such as activities, handouts, etc). Any homework problem can be discussed in the beginning of the following class period. This homework is meant to reinforce the concepts presented in a class. You are encouraged to discuss these problems with your fellow classmates. Homework is expected to be completed with detailed solutions as assigned. Homework is essential in mastering the objectives of this course, and all assignments will be due on the date of the exam for those chapters. Homework assignments will not be collected or graded. B. Tests There will be 4 inclass unit tests given throughout the semester. Each test is worth 100 points. The highest three unit test scores will be used in the calculation of the final grade, and the lowest score will be dropped. A student who is late for an exam will not be allowed to take the exam if at least one other student has already finished his or her exam. Any missed unit test will result in a score of zero for that exam. There is NO MAKEUP for any missed unit test. C. Final Exam The final is mandatory and will be a cumulative exam worth 100 points. A MISSED FINAL EXAM FOR ANY REASON WILL EARN A SCORE OF ZERO. There is NO MAKEUP (earlier or later) for the final. Final Exam may contain two parts. If Final Exam has two parts, then Part 1 will be worth 20% of the Final Exam. Part 1 may be given in the last day of classes before the finals week. See schedule for more details. Part 2 will be worth 80% of the Final Exam. Part 2 will be given during the scheduled finals week. See schedule for more details. The following is a summary of the cumulative point scales used in determining your final grade. Points Earned Percent Final Grade A B C D F  6 
7 VII Online Resources There is a supplemental web site for this course. The URL is VIII Course Topics/Assignments For each chapter you will be given a handout (as the course progresses), which will include detailed objectives, homework assignments, and helpful calculator hints. Chapter 1: The Where, Why, and How of Data Collection Section 11: What is Business Statistics? Section 12: Tools for Collecting Data Section 13: Populations, Samples, and Sampling Techniques Section 14: Data Types and Data Measurement Levels Chapter 2: Graphs, Charts, and Tables Describing Your Data Section 21: Frequency Distributions and Histograms Section 22: Bar Charts, Pie Charts, and Stemandleaf Diagrams Section 23: Line Charts and Scatter Diagrams (covered later. See Chapter 13) Chapter 3: Describing Data Using Numerical Measures Section 31: Measures of Center and Location Section 32: Measures of Variation Section 33: Using the Mean and the Standard Deviation Together Chapter 4: Using Probability and Probability Distributions Section 41: The Basics of Probability Section 42: The Rules of Probability Section 43: Introduction to Probability Distributions Chapter 5: Discrete and Continuous Probability Distributions Section 51: The Binomial Probability Distributions Section 52: Other Discrete Probability Distributions (Poisson, Hypergeometric) (Note: cover Poisson distribution only) Section 53: The Normal Probability Distributions Section 54: Other Continuous Probability Distributions (Uniform, Exponential) (Note: Section 54 is optional) Chapter 6: Introduction to Sampling Distributions Section 61: Sampling Error: What It Is and Why It Happens Section 62: Sampling Distribution of the Mean Section 63: Sampling Distribution of a Proportion Chapter 7: Estimating Population Values Section 71: Point and Confidence Interval Estimates for a Population Mean Section 72: Determining the Required Sample Size for Estimating the Population Mean Section 73: Estimating a Population Proportion  7 
8 Chapter 8: Introduction to Hypothesis Testing Section 81: Hypothesis Tests for Means Section 82: Hypothesis Tests for Proportions Section 83: Type 2 errors (skip) Chapter 9: Estimation and Hypothesis Testing for Two Population Parameters Section 91: Estimation for Two Population Means (skip) Section 92: Hypothesis Tests for the Difference Between Two Population Means Section 93: Estimation and Hypothesis Tests for Two Population Proportions (Note: skip Estimation for the difference of two population proportions) Chapter 10: Hypothesis Tests for One and Two Population Variances Section 101: Hypothesis Tests for a Single Population Variance Section 102: Hypothesis Tests for Two Population Variances Chapter 11: Analysis of Variance Section 111: OneWay Analysis of Variance Section 112: Randomized Complete Block Analysis of Variance (skip) Section 113: TwoFactor Analysis of Variance with Replication (skip) Chapter 12: Goodnessoffit Tests and Contingency Analysis Section 121: Introduction to Goodnessoffit Tests (Note: cover only the basic properties of chisquare distributions) Section 122: Introduction to Contingency Analysis Chapter 13: Introduction to Linear Regression and Correlation Analysis Note: cover first Section 23: Line Charts and Scatter Diagrams (Construction of Scatter Diagrams only) Section 131: Scatter Plots and Correlation Section 132: Simple Linear Regression Analysis Section 133: Uses for Regression Analysis (skip)  8 
9 IX. Course Schedule/Calendar Date Homework Assignment Chapter(s) Test August , 1.33, 1.43, 1.53, 1.55, August , 2.5, 2.9, 2.13, 2.19, 2.23, 2.27, 2.31, 2.49, August , 3.3, 3.5, 3.7, 3.11, 3.13, 3.21, 3.23, 3.31, 3.35, 3.39, 3.43, August , 4.3, 4.5, 4.7, 4.9, 4.13, 4.17, 4.23, 4.29, 4.35, 4.41, September 05 4, September 07 Test 1 Ch. 14 September , 5.3, 5.13, 5.25, 5.37, 5.47, 5.49, 5.51, 5.71, 5.105, September 14 5 September , 6.5, 6.9, 6.11, 6.13, 6.27, 6.47, 6.63, September September , 7.3, 7.7, 7.15, 7.17, 7.19, 7.21, 7.25, 7.27, September 28 Test 2 Ch. 57 October , 8.3, 8.5, 8.7, 8.11, 8.13, 8.19, 8.21, 8.27, 8.41, October 05 8 October 10 8 October 12 8 October 17 October , 9.3, 9.5, 9.7, 9.9, 9.11, 9.17, 9.19, 9.31, October 24 9 October , 10.3, 10.5, 10.7, 10.13, 10.15, 10.29, October No Class. Staff Inservice Day. November November 07 Test 3 Ch Test 3 Ch November , 11.5, 11.7, November November , 12.5, 12.11, 12.17, 12.23, November November 23 November , 13.7, 13.13, 13.15, No Class. Thanksgiving Break. November December 05 Test 4 Ch Test 4 Ch December December 12 December 14 Review Final Exam. 6:007:50pm NOTE: Items on the syllabus may be added, deleted, or modified throughout the semester. Students will be notified of changes in class and an announcement will be made on the course website. This schedule will also be available online on the course website
10 GENERAL INFORMATION FOR FALL AND SPRING SEMESTERS ( ) Attendance Policy The attendance policy of each instructor is included in the course syllabus distributed by the instructor on the first day of class. Compliance with each instructor's attendance policy is the student's responsibility. An instructor's attendance policy may go into effect with the first class meeting of the course. Late registration does not exempt the student from adhering to the attendance requirements in the course syllabus. Makeup work or work submitted late due to absence (including an instructor's decision to award less than full credit for work submitted late) will be handled at the discretion of the instructor in accordance with the course syllabus. Students not regularly attending class are strongly advised to withdraw officially from the course. Students who do not withdraw officially may receive a grade of "F" for the course, which will become a part of the student's permanent record. Students who must be absent due to prolonged illness or extended emergency should notify their instructor(s) immediately for the purpose of determining a plan of action appropriate to the situation. Campus Environment In accordance with the Illinois Clean Indoor Air Act, Moraine Valley Community College prohibits smoking in all campus buildings. Food is not allowed in the classroom. Beverages in the classroom are left to the instructor s discretion. Please leave the classroom in a clean and tidy condition. Cell Phones and Pagers Students and college visitors may not use and must silence cell phones, pagers, and other communication devices in all instructional areas, which include all labs and classrooms during instructional sessions, the Library, the Testing Center (B101), and other areas so designated by the college. Center for Disability Services (708/ ) The CDS, located in L150, provides support services to persons with disabilities. Services include priority registration, extended test time, tape recorder, and notetaker. Adaptive software is available in the CDS lab (L170). Interpreters are available with advance notice. Diagnostic testing is available for a fee. Computer Labs Computers are available for student and/or community use. More information is available online at Counseling & Career Dev/Academic Advising Center Visit or call the Counseling Center (708/ ) for academic, career, and personal counseling or help in selecting a college major. Visit or call the Advising Center (708/ ) for information on MVCC programs of study, transfer information, and course selection assistance. Both centers are located on the second floor of the College Center. HOURS:* MONDAYTHURSDAY FRIDAY 9 am  7:30 pm 9 am 4:30 pm Irene H. Brodie Academic Skills Center (708/ ) Free tutoring for currently enrolled Moraine Valley students is available in B284A for accounting, biology, chemistry, mathematics, and physics. Tutoring is available in English and reading in B284B. Students should pick up a tutoring schedule for specific details. (Additional information can be found in the college catalog, semester class schedule, and the Center s Web page.) The Center has two computer labs classroom and walkin. TUTORING MONDAYTHURSDAY FRIDAY SATURDAY HOURS:* 8 am  9 pm 8 am  4 pm 9 am 1 pm COMPUTER MONDAYTHURSDAY FRIDAY LAB HOURS:* 8 am  9 pm 8 am 4 pm Late Registration Policy COURSE LENGTH WKS 115 WKS 41 WKS Late Registration Period 1st WK 3 days 1 day Late registration with Instructor Permission 2nd WK 3 days 1 day NO REGISTRATION WILL BE ACCEPTED AFTER THESE DATES. Refund information is available in the semester class schedule and the Registration Office. NONCREDIT Refund Policy: It is the student s responsibility to drop a noncredit course three business days (9am to 5pm, MonFri) prior to the start date of course to receive a full refund. Courses dropped less than three business days before or after the start date will not receive a refund. Noshows do no constitute an official drop. No credit may be used toward another section for missed classes. Classes that are canceled by the college receive a full refund. *Hours of operation are also posted outside of each center. Library (708/ ) The Library is located at the west end of Building L. Enter on the 2nd floor. HOURS:* MONTHUR FRIDAY SATURDAY SUNDAY 7:30 am10 pm 7:30 am5 pm 8 am  4 pm 12 pm  4 pm CLOSED: 9/24/06, 11/2226/06, 12/16/06, and 1/15/07, 2/19/07, 4/68/07, 5/19/07 (Additional information on the LRC can be found in the college catalog.) Student Identification Card/Photo I.D.s (708/ ) All full and parttime students must have a Moraine Valley photo identification card (ID) that has been validated for current enrollment. ID cards and/or validation stickers can be obtained at the Photo ID Services area, located in the College Center (Room C208). Two forms of identification are required; your current class schedule will serve as one of these forms. Obtain your ID at the beginning of the semester. You will need it to use the library, computer labs, testing center, and recreational facilities. (Additional information can be found in the student handbook.) Testing Center (708/ ) The center is located in B101. You must present a valid MVCC student ID. (All testing materials will be collected at closing.) HOURS:* MONDAYTHURSDAY FRIDAY SATURDAY 8 am  9:20 pm 8 am  3:50 pm 9 am  1:50 pm COMPASS ASSESSMENT HOURS: AS POSTED THE LAST EXAM IS HANDED OUT 35 MINUTES PRIOR TO CLOSING. The Writing Center Moraine Valley faculty members and peer tutors are available to assist students with any part of the writing process. The Writing Center is located in L242 and is open Monday through Thursday. Additional information is available online at ASSISTED HOURS:* AS POSTED IN THE WRITING CENTER Withdrawal Policy After the prescribed period of tuition refund and before the end of the 13th week of a 17week semester (see table below), an official withdrawal will result in a "W" on the student's record. A student who does not withdraw officially from a course will receive a grade of "F", depending on course progress or course attendance, which will become a part of the student's permanent record. To withdraw officially from a course, a student must obtain a withdrawal form from the Registration Office. The withdrawal form must be completed and returned, in person, to the Registration Office (Rm C125). Class length Deadline to obtain W Class length Deadline to obtain W Class length Deadline to obtain W 3 wks 2 weeks 8 wks 6 weeks 13 wks 10 weeks 4 wks 3 weeks 9 wks 7 weeks 14 wks 10 weeks 5 wks 4 weeks 10 wks 7 weeks 15 wks 11 weeks 6 wks 5 weeks 11 wks 8 weeks 16 wks 12 weeks 7 wks 5 weeks 12 wks 9 weeks 17 wks 13 weeks HOURS: Registration/Admissions/Financial Aid FALL 2006 (extended hours begin two weeks prior to the fall & spring semesters) HOURS:* MONTHUR FRIDAY SATURDAY SUNDAY 8/79/1 8:30 am7:30 pm 8:30 am5 pm 9 am  2 pm closed MON&TUES WEDTHURSFRI SATURDAY SUNDAY 9/512/16 8:30 am7:30 pm 8:30 am5 pm 9 am  2 pm closed SPRING 2007 (extended hours begin two weeks prior to the fall & spring semesters) HOURS:* MONTHUR FRIDAY SATURDAY SUNDAY 1/21/26 8:30 am7:30 pm 8:30 am5 pm 9 am  2 pm closed MON&TUES WEDTHURSFRI SATURDAY SUNDAY 1/295/18 8:30 am7:30 pm 8:30 am5 pm 9 am  2 pm closed THE COLLEGE WILL BE CLOSED: FALL 2006: Sept. 4; Nov SPRING 2007: Jan. 15; Feb. 19; March 1018; April 68 No credit classes will be held on Oct. 17, 2006 and March 1, 2007; college services will be available More information is available at
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