Course Information

Course Number: MAT 1372

Section Number: OL53

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.

Pre- or Corequisite: MAT 1375

Online Platforms

We will be using three online platforms this semester:

  1. Blackboard: We will be using Blackboard Collaborate Ultra for our online class sessions:

https://bbhosted.cuny.edu/webapps/collab-ultra/tool/collabultra?course_id=_1978470_1

I will also use Blackboard for posting announcements (which you will also receive via email) and for collecting written assignments (such as quizzes and exams).

  1. OpenLab: We will use this OpenLab site for sharing course-related content and for online participation assignments

Please set up an OpenLab account and “join” our course profile to get email notifications about posts and uploads to the OpenLab site: 

  1. WebWork/Rederley (online homework):

https://app.rederly.com/common/courses/enroll/OL53_SPRING2021_G57U

Register for the site (using your CityTech email address) and enroll in our course!

Learning Outcomes

  1. Collect, organize and graph raw data.
  2. Compute statistical parameters (mean, median, mode, average deviation, variance, and sample standard deviation).
  3. Create grouped frequency distributions, probability distributions, histograms as well as identify bellshaped distributions (normal, t-distribution) and nonbellshaped distributions (Chi-square).
  4. Assign probabilities to events using counting methods, conditional probability and discrete probability distributions.
  5. Determine if the data supports a hypothesis at a given significance level using known distributions.
  6. Use spreadsheet software and other computer technology to assist in creating distributions and testing hypothesis

Gen Ed Learning Outcomes

Students will be able to:

  1. Understand and employ both quantitative and qualitative analysis to solve problems.
  2. Make meaningful and multiple connections between mathematics and other areas of study leading to a major or profession.
  3. Employ scientific reasoning and logical thinking.
  4. Communicate effectively using written and oral means.

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 May 17 (WF after May 17)

Grading Policy

The grading policy for the course appears on the Grading Policy page.

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

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