Math 110 – Biostatistics

To provide an introduction to statistical reasoning through the study of the fundamental principles associated with the collection and presentation of data, estimation, and the formulation and testing of hypotheses. Work with data generated from real-life settings especially biological sources. This course is intended for Biology majors. Statistical software such as JMP will be used.

Not for Math Majors. Meets the General Education Requirement – Mathematics.

Accessing the Course

  • To access the course from outside the lab go to montclair.mylabsplus.com
  • To log in use your NetID for your user name and six digit birthdate for your password (mmddyy). You can change your password once you log in.
  • MyLabsPlus is both PC and Mac compatible and works best with Chrome or Firefox.
  • For technical assistance please contact Pearson Tech Support by calling 1-800-677-6337.

Required Course Materials

  • MyLabsPlus Access Code: DSEATY-PRINK-FLORY-SPRUE-OASIS-PROSE

  • Scientific Calculator, cellphones are prohibited in the center and may not be used as a calculator. Graphing calculators are not allowed on quizzes or tests.

  • Headphones for use in the Red Hawk Math Active Learning Center.

  • Notebook devoted to the course and pencil/pen. Paper is only provided during a quiz, test, or final.

Grading

In this course you will be evaluated based on your performance on homework, quizzes, tests, comprehensive final exam, and participation. Zeros will be submitted on all assignments after the due date. Students will not be given an opportunity to make up late assignments.

  • Homework – 15%
    Homework is completed through MyLabsPlus during lab time and at home. You will need to spend additional time, approximately 3-6 hours a week, outside of scheduled lab time to meet weekly objectives.
  • Quizzes – 10%
    You will be able to take any quiz up to 2 times, as long as you complete the attempts before the end of your lab time on the due date. Quizzes are timed, closed notes assignments.
  • Participation – 5%
    Participation grade is based on attendance during your scheduled weekly lab times. Credit will be awarded based on the completion of the check-in and check-out process, but you are expected to actively work on assignments during your lab time. Lack of participation can result in losing attendance credit for the lab period.
  • Focus Group – 5%
    You will be graded on attendance and participation during each focus group session.
  • Project/Paper – 15%
    There is one project in this course, divided into two parts. More information about the project will be included in the course material.

  • Unit Tests – 30% (2 Tests, 15% each)
    There are 2 Unit Tests in this course. You are allowed one attempt for each test, which must be completed before the end of your lab time on the due date. Tests are timed, closed notes assignments.

  • Final Exam – 20%
    The final exam is administered in the RHMLC during your scheduled time, but may be taken early if completed before your last lab meeting. Date and time will be posted in the lab prior to finals week. Only one attempt is allowed. The final is a timed, closed notes assignment.
  • Study Plan – Course Bonus (2%)
    Bonus points will be awarded based on completion of the study plan at an 80% mastery level prior to the final. You must achieve 80% of total number of points to earn the bonus.

To pass the course with a C- you must score at least a 70% total average and 60% test and quiz average.

Course Objectives

Specific Objectives of the Course

  1. To teach techniques of collecting, organizing, presenting and interpreting data as included in the study of exploratory descriptive and inferential statistics.
  2. To provide understanding of the scientific method as it pertains to the collection and organization of real-world and biological data, formulating and testing hypotheses, and interpretation and reporting of results.
  3. To provide opportunity to understand the variability and uncertainty associated with real-world and biological settings.
  4. To provide an understanding of quantitative and stochastic reasoning associated with real-world and biological settings.
  5. To emphasize the significant role of statistical science in many areas of application with an emphasis in biology.

Course Content

  1. Exploratory Data Analysis (stem-and-leaf, boxplot, outliers)
  2. Descriptive Statistics (central tendency, variability, correlation)
  3. Distributions (normal, binomial, t, chi-square, sampling distributions – means, proportions)
  4. Inference (point and interval estimation and hypothesis testing of one and two means, one and two proportions, correlation and regression, one way and two way analysis of variance, statistical power analysis, nonparametric techniques (optional).

Procedures, Techniques and Methods

Emphasis is on the understanding, application, and interpretation of statistical concepts in the context of
biological sciences. Data from a variety of other applications will also be studied. Students will conduct
research projects where they will generate their own data and analyze and interpret the results in a
written report. Students generate data through experiments, observational studies or retrieval of data
from the Internet or other sources. The use of statistical software is required.