Contents
Course Information
Course Number: MAT 1272
Course Title: Statistics
Course Outline: Official course outline prepared by the Mathematics Department.
Course Description: An introduction to statistical methods and statistical inference. Topics include descriptive statistics, random variables, distributions, sampling estimation and inference, t-tests, Chi-square tests and correlation.
Credits / Hours: 3
Section Number: D081
Prerequisites: MAT 1190 or MAT 1190CO or higher. Not open to students who have completed MAT1372 or MAT 2572.
Textbook:
Wiley Plus: an electronic version of the textbook is available.
- Required for sections whose instructors opt to use the on-line homework assignments.
- Cost for students is $40 using promotion code CTC06. There is free access for 14 days.
- When registering, students should use B48574 for the course code.
- When registering, the College/Institution is CUNY College of Technology
- For additional fee, students may acquire printed version (see instructor’s handout for details).
Online Spaces
- 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. https://openlab.citytech.cuny.edu/kan1272d081fa23/
- WileyPlus: The textbook and homework assignments will be given through WileyPlus. Registration and access is mandatory. To go to the WileyPlus site click here.
- You will be submitting your assignments through Dropbox.
- You should have an email from me saying I shared a folder with you. Click on the link provided to open up a shared folder between you and myself.
- In order to turn in an assignment, you need to scan, rename, and upload a PDF file. Multiple pages must be submitted in one file. Directions are available here. This is a video of me using Dropbox on my phone.
- All this can be done by using the Dropbox app on your smartphone! Download the Dropbox app and access it using the same email address that contains our shared folder.
Faculty Information
Professor Name: Bruce Kan
Office Hours/Information: For information about office hours, visit Contact Info & Meeting Info.
Contact Information
Learning Outcomes
| Course Learning Outcomes | General education Learning Outcomes | Required Core: Mathematical and Quantitative Reasoning |
| Define the basic terms and describe the differences between descriptive and inferential statistics. | Think creatively, critically, and develop quantitative and qualitative literacy | Assess information from a variety of sources and articulate how meanings are created in communications and how experience is interpreted and conveyed. |
| Organize, construct and interpret tables using quantitative or qualitative data. | Ability to use appropriate graphical methods to draw accurate conclusions. | Interpret and draw inferences and conclusions from representations in graphs and tables using data pertaining to interdisciplinary fields |
| Calculate and interpret statistics such as the mean, mode, median, standard deviation, quartiles and percentiles. Identify outliers | Able to identify the context of a situation in order to select the appropriate representation of data. | Apply statistical analysis in various fields of study. |
| Use technology given a set of paired data to find the correlation coefficient, the regression lines and the predicted y-value given an x-value. | Ability to apply numerical and graphical methods to make appropriate predictions based on the findings. | Use appropriate technology to conduct research and to communicate the results. |
| Calculate the probability of and events. Explain what a random variable is and be able to do calculations with and provide real life examples modeled by the binomial, hypergeometric and normal distributions. | Apply mathematical methods to make decisions under conditions of uncertainty. | Gain an understanding of how the determination of an event’s probability affects us all. |
| Apply the Central Limit Theorem to find the mean and standard deviation of a sampling distribution as well as its shape. Given an interval in the sampling distribution, determine its probability. | Apply mathematical methods to make decisions under conditions of uncertainty. | Gain an understanding of how the determination of an event’s probability affects the population. |
| Conduct hypothesis testing using the critical value approach with the normal and chi-square distributions. | Be able to connect the concepts of probability to test hypotheses and under the estimated level of significance of each test. | Ability to explain information presented in mathematical forms and make judgements and draw appropriate conclusions based on the quantitative analysis of data, while recognizing the limits of this analysis. |
Technology Requirements
- A graphing/statistical calculator is required. I recommend the TI-84.
Schedule
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 12/11/2023 (WF after 12/11/2023)
Grading Policy
The grading policy for the course appears on the Grading Policy page.
Class Etiquette & Netiquette
Please adhere to the following rules when engaging in class online:
- Have your microphone and camera turned off while the instructor is speaking.
- Be ready to turn on your microphone in case your instructor asks you a question.
- You are expected to attend class virtually as if you are in a regular classroom. This means paying attention, taking notes, working on the problems that are assigned, and asking questions should they arise.
Attendance/Participation
Attendance will be taken. Latenesses and students leaving before the end of the class will be recorded. If these become excessive, the student may be asked to withdraw from the course. Students who are logged into the session for less than 40 minutes will be marked absent. In order to do well, attendance is highly recommended. In addition, it is the student’s responsibility to keep up with the material from missed class.
Academic Integrity Policy
Your work MUST be your own. Use of online or smartphone math solvers is strictly prohibited. I know the types of solutions and work that these apps display, and I will consider it a serious offense if anyone is suspected of using these apps, websites, or programs. Any one suspected to be in violation of this policy will be dealt with by the Academic Integrity Committee.
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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