Stat 101, Introductory Statistics
Spring 2007
Instructor:Dr. Chris LeeTrexler
Monday / Tuesday / Wednesday / Thursday / Friday9:40 - 10:40 / 9:40 - 10:40 / 9:00 - 11:00 / 9:40 - 10:40
Stat 101-B / Stat 101-B / Office Hours / Stat 101-B
Trexler 374 / Trexler 374 / Trexler 374
10:50 - 11:50 / 10:50 - 11:50 / 10:50 - 11:50
Stat 101-C / Stat 101-C / Stat 101-C
Trexler 374 / Trexler 374 / Trexler 374
1:10 - 2:10 / 1:10 - 2:10 / 1:10 - 2:10 / 1:10 - 2:10
Math 131 / Math 131 / GEG / Math 131
Trexler 363 / Trexler 363 / Trexler 363
2:20 - 3:00 / 2:20 - 3:00
Office Hours / 7:00 - 9:00 pm / Office Hours
Office Hours
Course Objectives: To gain an understanding of both descriptive and inferential statistics. Topics to be covered include: frequency distributions, computation of averages and measures of dispersion, probability distributions, elements of sampling, correlation, predictions, and tests of hypothesis
Technology:Use will be made of the statistical package Minitab which is available on the college lab computers. Students will also need a scientific calculator. No laptops are allowed in the classroom.
Text: A First Course in Statistics, 9th edition. Authors: McClave & Sincich
Reading: The daily syllabus is attached. It is expected that students will read ahead and come to class prepared to discuss the material.
Attendance: Attendance is critical to the understanding of the material in the course; it is both required and expected. Any absence that is not discussed with the instructor prior to the missed class is considered unexcused. Unexcused absences may result in the lowering of the final grade. I will assume that if you accumulate 3 unexcused absences you are not interested in completing the course and will drop you from the class (DF). When absent, excused or unexcused, you are responsible for all material covered in class. You will not be allowed to make up any work missed due to an unexcused absence.
MCSP Conversations: The Math, Computer Science and Physics department offers a series of discussions that appeal to a broad range of interests related to these fields of study. These co-curricular sessions will engage the community to think about ongoing research, novel applications and other issues that face our discipline.
Sessions are currently being scheduled, and all will be announced in advance.
Members of this class are invited be involved with all of these meetings; however participation in at least one of these sessions is mandatory. After attending, students will submit within one week of the presentation a one-page+ paper reflecting on the discussion. This should not simply be a regurgitation of the content, but rather a personal contemplation of the experience.
Homework: Homework problems will be assigned daily, many involving the use of Minitab. Do not wait to start these until the night before they are due! Homework will be collected on Mondays and Wednesdays.
Quizzes:Quizzes will be given every Friday.
Tests: Four tests will be given throughout the semester.
Final Exam: The final exam will be cumulative, equally covering all material presented in the course.
Grading: Components of the course will be weighted as in the table below. The values will be adjusted if the number of homework assignments or quizzes changes.
Tests / 4 x 100 pts / 0.56Homework / 18 x 4 pts / 0.10
Quizzes / 8 x 10 pts / 0.12
Final Exam / 160 pts / 0.22
712 pts
No test or quiz scores will bedropped when calculating averages. A tentative guideline for determination of a student’s grade will then be:
A / > 93A- / 90 – 93
B+ / 87 – 89.9
B / 83 – 86.9
B- / 80 – 82.9
C+ / 77 – 79.9
C / 73 – 76.9
C- / 70 – 72.9
D+ / 67 – 69.9
D / 63 – 66.9
D- / 60 – 62.9
F / < 60
Attendance and class participation will be considered whendetermining marginal and plus or minus grades.
Academic Integrity: Students are expected to adhere to theAcademic Integrity policies of RoanokeCollege. All work submittedfor a grade is to be your own work! No electronic devices other than calculators can be taken out during any class or testing period.
Cell Phone Policy: If your phone rings, I get to answer it.
Course Outline for Stat 101, Spring 2007
MonJan 151.1, 1.2, 1.3Fundamental Elements of Statistics
WedJan 171.4, 1.5, 1.6Types of Data, Collecting DataHW 1 due
FriJan 192.1Describing Qualitative DataQuiz 1
MonJan 222.2Graphical MethodsHW 2 due
WedJan 242.3, 2.4Measures of Central TendencyHW 3 due
FriJan 262.5Measures of VariabilityQuiz 2
MonJan 292.6Interpreting the Standard DeviationHW 4 due
WedJan 312.7, 2.8Relative Standing, OutliersHW 5 due
FriFeb 2review
MonFeb 5Test 1
WedFeb 73.1Events, Sample Spaces, Probability
FriFeb 93.2, 3.3Unions, Intersections, ComplementsQuiz 3
MonFeb 123.3, 3.4Additive Rule, Mutually Exclusive EventsHW 6 due
WedFeb 143.5Conditional ProbabilityHW 7 due
FriFeb 163.6Multiplicative Rule, Independent EventsQuiz 4
MonFeb 194.1, 4.2Discrete Random VariablesHW 8 due
WedFeb 214.3Binomial Random VariableHW 9 due
FriFeb 23review
MonFeb 26Test 2
WedFeb 284.4Continuous Variables
FriMar 24.5The Normal DistributionQuiz 5
Spring Break
MonMar 124.6Assessing NormalityHW 10 due
WedMar 144.8Sampling DistributionsHW 11 due
FriMar 164.9Central Limit TheoremQuiz 6
MonMar 195.1, 5.2Confidence Intervals: Large-SampleHW 12 due
WedMar 215.3Confidence Intervals: Small-SampleHW 13 due
FriMar 235.4, 5.5Intervals for Population Proportions, Sample SizeQuiz 7
MonMar 26review
WedMar 28Test 3
FriMar 306.1, 6.2Test of Hypothesis: Large Sample
MonApr 26.3Significance LevelsHW 14 due
WedApr 46.4Small Sample TestsHW 15 due
FriApr 6Good Friday, No Classes
MonApr 96.5Tests about Population ProportionsHW 16 due
WedApr 116.5Tests about Population ProportionsHW 17 due
FriApril 139.1Probabilistic ModelsQuiz 8
MonApr 169.2Least Squares Fit: RegressionHW 18 due
WedApr 18review
FriApr 20Test 4
MonApr 23review for final, last day of class
MonApril 308:30 – 11:30 amFinal Exam – Block 3
TueMay 18:30 – 11:30 amFinal Exam – Block 2