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Course Number: MAT 1372
Course Title: Statistics with Probability
Course Outline: Official course outline prepared by the Mathematics Department.
Course Description: Topics include sample spaces and probabilities, discrete probability distributions (Binomial, Hypergeometric), expectation and variance, continuous probability distributions (Normal, Student, Chi-Square), confidence intervals, hypothesis testing, and correlation and regression. Spreadsheets are used throughout the semester.
Credits / Hours: 3 (2 class hours, 2 lab hours)
Section Number: ABCD
Pre- or Corequisite: MAT 1375
Textbooks: There are two textbooks for this course:
- Introductory Statistics, Sheldon Ross, 3rd edition, Academic Press
- Statistics with Microsoft Excel, Beverly J. Dretzke, 5th edition, Pearson
- OpenLab: This website will be the online home for our class. The site contains important information about the course, and will be used in various ways throughout the semester. Add link to OpenLab Course
- WeBWorK: Much of the homework for this class will be completed through WeBWorK, an online homework system hosted by Rederly. You can sign up for a free account on Rederly with your City Tech email. Once you have an account, you can join our course on Rederly by clicking the enrollment link below.
Rederly enrollment link: (update with your course enrollment link from Rederly).
- Add information about any video conferencing tools you will be using.
- N81x (update room or delete if not applicable)
- Your Name Here
Office Hours/Information: For information about office hours, visit Contact Info & Communications.
- Email: email@example.com
- Phone: 123-456-7890
- Collect, organize and graph raw data.
- Compute statistical parameters (mean, median, mode, average deviation, variance, and sample standard deviation).
- Create grouped frequency distributions, probability distributions, histograms as well as identify bellshaped distributions (normal, t-distribution) and nonbellshaped distributions (Chi-square).
- Assign probabilities to events using counting methods, conditional probability and discrete probability distributions.
- Determine if the data supports a hypothesis at a given significance level using known distributions.
- Use spreadsheet software and other computer technology to assist in creating distributions and testing hypothesis
Gen Ed Learning Outcomes
Students will be able to:
- Understand and employ both quantitative and qualitative analysis to solve problems.
- Make meaningful and multiple connections between mathematics and other areas of study leading to a major or profession.
- Employ scientific reasoning and logical thinking.
- Communicate effectively using written and oral means.
A detailed schedule of topics can be found on the Schedule page.
Percent/Letter Grade conversion
A = 93.0 — 100
A- = 90.0 — 92.9
B+ = 87.0 — 89.9
B = 83.0 — 86.9
B- = 80.0 — 82.9
C+ = 77.0 — 79.9
C = 70.0 — 76.9
D = 60.0 — 69.9
F = 0 — 59.9
W = withdrawal up to 11/6/20 (WF after 11/6/20)
The grading policy for the course appears on the Grading Policy page.
Class Etiquette & Netiquette
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Add attendance/participation policy. With online instruction the focus is on class participation, which depends on the structure of your course. For example, if you are offering synchronous classroom experiences (Zoom, Blackboard Collaborate, etc.) it would be participation in these meetings. For asynchronous courses, it is participation by the deadlines stated in your syllabus. As technology can be fickle, and life is far from normal, please exercise both compassion and common sense.
Academic Integrity Policy
Students and all others who work with information, ideas, texts, images, music, inventions and other intellectual property owe their audience and sources accuracy and honesty in using, crediting and citation of sources. As a community of intellectual and professional workers, the college recognizes its responsibility for providing instruction in information literacy and academic integrity, offering models of good practice, and responding vigilantly and appropriately to infractions of academic integrity. Accordingly, academic dishonesty is prohibited in The City University of New York and is punishable by penalties, including failing grades, suspension and expulsion. More information about the College’s policy on Academic Integrity may be found in the College Catalog.Print this page