Course Syllabus

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Math&146 | [ENTER TERM HERE]

Instructor Information

Instructor: Ryan Orr

Contact: rorr@columbiabasin.edu or via Canvas message

Office Hours: [UPDATE OFFICE HOURS HERE]

Office Location: T110

Textbook:

Great news: your textbook for this class is available for free online!
Statistics from OpenStax, ISBN 1-947172-05-0

You have several options to obtain this book:

You can use whichever format(s) you want. Web view is recommended, and is embedded in each module (see the "Modules" tab) -- the responsive design works seamlessly on any device. If you absolutely desire a hard-copy, you can order an affordable paper copy, but it is not required.

Calculator

You will need a calculator for this course, however Graphing Calculators are prohibited from use on exams! You may use any non-graphing, scientific calculator for exams. Personally I recommend the TI-30XS, but any scientific calculator will work just fine. If you are unsure if your calculator is allowed, please contact me before the first exam.

Communication

Any communication with me should be done through either an email or a Canvas message to ensure I receive it. I am regularly on campus Monday-Thursday from 9:00 AM - 4:00 PM. If you send me an email during those hours I will typically respond to it the same-day. If you send me emails after hours, or on the weekends, you may not get a reply from me until the next school day when I am back on campus.

Student Expectations

Time Commitment: It is recommended that you plan to commit at least 6 hours per week outside of class time working on course content. That includes reading the textbook, watching video resources, and working on quizzes and homework assignments as well as preparing for exams. Some students may find they need more than 6 hours/week to complete the course.

Proctored Exams: The three regular exams and the final exam must be taken in-person, at CBC's Pasco campus, on the dates and at the times outlined on the course calendar. You must come to campus to take these proctored exams.

Communication: You must communicate, in writing, any exceptions or special requests that you may have. If you need to make a request for an exception, exam makeup, or otherwise, you must provide the request in writing via email or Canvas message. Even if we communicate face-to-face, you must follow-up with an email to confirm our conversation and whatever decisions we come to.

Makeup Exams: Typically, makeup exams are not allowed. However, emergencies happen or you may already have plans on a date that an exam is scheduled. If you know in advance that you will not be able to make it to an exam on the scheduled date, notify me in advance as soon as possible to schedule a date/time to take the exam. If you miss an exam due to an emergency and request a makeup exam, you may be required to show documentation of your emergency.

Assignments

Homework: Homework problems can be found in each section of your OpenStax textbook, near the end of each section labeled "Homework". For each chapter, it is expected that you complete all of the available homework problems in each assigned section to the best of your ability. In each module, you will have an opportunity to tell me whether or not you completed the homework to the best of your ability for that chapter. Your response is on the "Honors System" and you receive full-credit just by indicating that you completed the problems to the best of your ability. Your responses to the homework are worth 5% of your overall grade.

Quizzes: Quizzes will be available in the modules, and will be available up until their scheduled due date. Quizzes cannot be made up, and extensions will not be granted. Your final quiz score average will constitute 20% of your overall grade.

Exams: There will be three regular exams which will be taken in class on the dates scheduled on the calendar you can see the dates at the bottom of the syllabus. Each exam is non-cumulative. The three in-class exams combined will constitute 50% of the overall grade.

For in-class exams, you are allowed one sheet of self-provided notes (maximum size 8.5 x 11 inches, FRONT SIDE ONLY), a writing utensil, and a scientific calculator (graphing calculators prohibited).

Final Exam: The final exam is cumulative. The final exam constitutes 25% of the overall grade. The final exam is "open book", this means you can bring any non-electronic resource (notes, books, binders, etc...) to assist you on the final exam. However, you must provide your own resources, sharing notes on the final exam is prohibited.

Grading

Once your final scores are calculated, your overall percentage in the course will be calculated according to the weights given in this syllabus. Once your overall percentage in the course is calculated, GPA will be assigned as follows:

Overall Percentage GPA
90-100% 4.0
80-89% 3.0-3.9
70-79% 2.0-2.9
60-69% 1.0-1.9
57-59% 0.7-0.9
< 57% 0.0

Student Services

Technical Support: For issues with Canvas, please visit our eLearning Page. For questions about computers, laptops, or wi-fi, you can visit the Computer and Electronic Resources Page.

Accessibility: CBC offers full services for students who have disabilities or require other accommodations. For more information, please visit the Resource Center or view our Disability Services Page. We also offer Assistive Technology services.

Academic Support: CBC also offers a full-range of resources for students taking classes. For tutoring services, check out the Math Center. For other tutoring needs, including online tutoring, you can check out the Academic Success Center.

 

Course Outcomes

By the end of the course, the following course outcomes should be met:

  • Students will be able to distinguish between qualitative and quantitative variables.
  • Students will be able to distinguish between discrete and continuous quantitative variables.
  • Students will be able to distinguish between an observational study and an experiment.
  • Students will be able use various sampling methods, such as simple random, stratified and cluster, to obtain a random sample from a population.
  • Students will be able to identify how different types of bias arise in sampling.
  • Students will be able to organize and summarize qualitative and quantitative data using appropriate tables and graphs.
  • Students will be able calculate various summary statistics involving measures of center and variation for a data set.
  • Students will use the Empirical Rule to describe data that are bell shaped and symmetric.
  • Students will be able to compute the mean and standard deviation of grouped data.
  • Students will be able to compute the five-number summary and create a boxplot for a given set of data.
  • Students will learn basic probability concepts, such as the addition rule, the multiplication rule, the complement rule, and conditional probability.
  • Students will solve counting problems using the Multiplication Rule, permutations and combinations.
  • Students will be able to compute probabilities involving permutations and combinations.
  • Students will be able to distinguish between discrete and continuous random variables.
  • Students will be able to display a discrete probability distribution in table and graph form.
  • Students will be able to compute and interpret the mean and standard of a discrete probability distribution.
  • Students will be able to compute probabilities for Binomial, Poisson, Uniform and Normal random variables.
  •  Students will use a Normal Probability plot to assess the normality of a given data set.
  • Students will be able to describe the sampling distribution of the sample and the sample proportion.
  • Students will be able to construct confidence intervals for the population proportion and the population mean.
  • Students will be able to determine the size of a sample needed to meet specific criteria.
  • Students will be able to perform hypothesis tests for a population mean and a population proportion.
  • Students will be able to explain Type I and Type II errors.
  • Students will be able to create a scatterplot of bivariate quantitative data.
  • Students will be able to analyze bivariate quantitative data to determine whether a linear relation exists using the linear correlation coefficient and the coefficient of determination.
  • Students will use the method of least squares to determine a linear model for bivariate data. The students will use the linear model to make predictions.
  • Students will be able to describe associations among qualitative variables.

    Course Summary:

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