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Course Syllabus
BioStatistics 4 Credits Semester
Math/Science Dept. Bio 483?
Jim Taulman Class Time:
HYPERLINK "mailto:jtaulman@olc.edu" jtaulman@olc.edu W: 455-6003 H: 745-3959
Office: By appointment. It is always best to e-mail the instructor with any questions or concerns.
Course Description: This course will provide a review of basic statistical concepts, including: numerical descriptions of quantitative data, probability distributions, and inferences about data parameters. Correlation and regression analyses, analysis of variance, and experimental design will be treated, as will be nonparametric statistical methods. Examples will be drawn from published biological research data sets. Hypothesis testing will be emphasized.
Prerequisites: Math 314 (Applied Statistics), Math 163 (Trigonometry) completed with a grade of C or better, or permission of the instructor. MIS 143 (Introduction to Spreadsheets) or familiarity with Excel or other spreadsheet software.
Required Text and Materials: To be determined.
Supplementary Materials: Statistical analysis computer software will be used in the course.
Reading Level: Students will be expected to read all sections covered in lectures. The
reading level of the text is grade 14 as computed using the Fry Readability Index.
Writing Expected: Exams and homework assignments may contain essay questions.
Written reports may be assigned.
Critical Thinking: Critical thinking and reasoning are part of any well rounded
education. This course will supplement these skills whenever possible. Various
modules and projects will cover this area independent of the course content.
Lakota Perspective: The Lakota perspective will be provided by way of daily
interaction between student and teacher where traditional Lakota values such as patience,
respect, and honor will be maintained. The students will be expected to aid the teacher
with the inclusion of the Lakota perspective.
Course Objectives: A student leaving this course will have an excellent foundation in
the basics of statistics with an emphasis on applications to scientific research, description and interpretation of data, and hypothesis testing. Topics in which a student will become well versed in include:
Numerical description of quantitative data
Probability distributions
Population parameters and statistics
Correlation, regression, and other means for comparing populations
Analysis of variance and design of experiments
Nonparametric statistics and other qualitative data methods
Methods for interpretation of data and hypothesis testing
Course Requirements:
a) This class meets once a week in a face-to-face recitation session.
b) The attendance requirement will follow OLCs policy: A student will be dropped if three classes in a row are missed, or a total of five classes are missed. It should be noted that a student that misses even two or three total classes will find it difficult to achieve success in the course.
c) Technology will play a large roll in the course. Statistical computer software will be used in analytical problems. Familiarity with spreadsheets is required in order to speed up the learning curve for the statistical software.
Course Structure:
Class will meet once per week. Students will be required to spend time during the week completing assignments on computers equipped with stat software at their center.
Grading: The majority of the grade will be based upon homework.
Homework: Twelve, weekly homework assignments, or quizzes will be given. The two lowest scored assignments will be dropped and will not figure into the final
grade. Each of the 10 graded assignments will count 10 points for a total of 100
points in the semester.
Late homework assignments will not be accepted. Ample time will be given to work the assignments and it is the responsibility of the student to complete the work in a timely manner. Upper level statistics is challenging and it is strongly suggested that a student does not procrastinate in this class. Students should be aware that homework assignments are more than a way to earn points in this class; they are also a learning tool.
The instructor needs the assignments on time so they can be graded and returned so a student may learn from them (and possibly redo the assignment for more credit).
However, if the assignments are not turned in on time, this becomes impossible.
Exams: A mid-term and final exam will be given. Each will count 100 points.
Therefore, a total of 300 points may be earned during this course:
Homework 100
Mid term exam 100
Final exam 100
Total 300
Grades will be assigned by the intervals of total earned points:
270-300 = A 240-269 = B 210-239 = C 180-209 = D < 180 = F
Other Assessment: This course may include pre-and-post course testing to assess how much a student learned during the course. These tests may not count toward a students grade, but some courses may use the Final exam as the pre-and-post test assessment tool. If a student has any questions about the assessment plan of the Math/Science Department, please contact any fulltime instructor or the Chair of the department.
Suggestions to the student: Attend class and do all assignments. The key to
learning statistics is practice and independent study.
Policies on Plagiarism or Cheating:Guidelines for plagiarism will be closely followed in this course
This program is designed to provide you with the greatest opportunities to learn and to apply what you learn to the needs of your organization. Part of this learning process includes the review and integration of the work of others with your thoughts and ideas. In this process, there is no room for plagiarism, which robs you of meaningful learning and is unfair to the original author. Plagiarism is an ethical violation that is not tolerated at OLC. Oglala Lakota College faculty and staff are fully aware of the many online resources that are now available, and we encourage you to focus on learning rather than the inappropriate use of another person's work without proper citation. You are responsible for understanding plagiarism. If you have questions or comments about plagiarism, how to most effectively learn in this course, or other issues, do not hesitate to contact your instructor, an academic advisor, or the program director.
Disclaimer: Information contained in this syllabus was, to the best knowledge of the instructor, considered correct and complete when distributed for use at the beginning of the semester. However, this syllabus should not be considered a contract between Oglala Lakota College and any student. The instructor reserves the right to make changes in course content or instructional technique without notice or obligation.
Bio 483 Weekly Material Schedule (always subject to change)
WeekBook Sections 1Statistical terms and concepts Course Introduction2Statistical software overview3Quantitative and qualitative dataHW 1 due4Descriptors of quantitative dataHW 2 due5Graphical presentation of dataHW 3 due6Probability distributions HW 4 due 7Population mean and descriptive stats and testsHW 5 due8Mid-term Exam9Comparing two populationsHW 6 due10Correlation and linear regressionHW 7 due11Multiple regressionHW 8 due12Analysis of variance HW 9 due13Contingency table analyses and Chi-square HW 10 due14Nonparametric statistics HW 11 due15Nonparametric statisticsHW 12 dueMake up Week Final Exam
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