Course Syllabus
Math 112 S Elementary Statistics Fall 2023
Class Information
Ticket # 32414
Semester: Fall 2023 Time: MW 1:00 - 3:15 am Room: MCIS 108 Sep 4, 2023 - Dec 13, 2022
LAB for this course (32415) Time: MW 3:25 - 4:30 pm Room MCIS 108
Instructor: Daniela Cortez e-mail: dcortez@cerritos.edu Phone: 562-860-2451 ext. 2664
Textbook: Introductory Statistics: Exploring the World Through Data, 3rd edition, By Gould, Wong and Ryan
Instructions on how to register for Mymathlab on Canvas
Calculators: A graphing calculator is required for this course. A Texas Instruments calculator (84+, 84+C se) is strongly recommended.
Office Hours
On Mondays and Wednesdays from 12:00-1:00 pm: https://cerritos-edu.zoom.us/j/83296685519
On Tuesdays from 10:00 - 11:00 am: https://cerritos-edu.zoom.us/j/85253778412
Embedded Tutoring
Via TechConnect Zoom (Tab on the left) or click on the links below
Letter of Introduction from your Embedded Tutor
Success Center Tutoring: Visit the website or use the link below
Cerritos Success Center Math Tutoring
Student Learning Outcomes:
- Identify, compute, and interpret basic statistics such as measures of center, variation, and position, and understand the distinction between statistic and a parameter
- Solve application problems using the appropriate distribution, such as binomial, normal, and sampling
- Construct and interpret confidence intervals for appropriate population parameters.
- Determine the validity of a statement using hypothesis testing
Student expectations for the course
- Read and understand the syllabus
- Log into the course regularly (everyday).
- Check announcements regularly for important information regarding the course.
- Attend class, take notes, read the textbook, watch videos before starting your MyMathLab assignments.
- Complete all MyMathLab assignments (homework) in a timely manner.
- Complete all discussions.
- Complete all quizzes.
- Complete all exams (3 total) and the final exam on the scheduled dates.
- Attend office hours and/or embedded tutoring sessions if you have questions on the homework.
Course Description
This course is a beginning statistics course, and it provides the introduction to descriptive and inferential statistics. Topics included are mean, standard deviation, variance, probability, random variables, binomial probability distribution, normal probability distribution, the central limit theorem, hypothesis testing, confidence intervals, t-distribution, chi-square distribution, F-distribution, linear regression, and linear correlation.
Homework
Homework for this course is due weekly every Sunday at 11:59 pm . Each homework assignment will be automatically graded on canvas by the due date.
Homework is allowed to be completed late with a deduction of 20%. For this course, you will purchase access to MyMathLab from Pearson. Instructions on how to purchase access to Person available on the syllabus. MyMathLab is the courseware you will be using to complete your online assignments.
Take advantage of all the resources provided by Pearson.
Quizzes
There will be online quizzes throughout the semester. Each quiz will cover the content specified on the calendar/weekly schedule. The quizzes will be open for about a week and two attempts per quiz are allowed. There are no make-up quizzes. There will be daily vocabulary quizzes.
Discussions
To allow student collaboration, there will be graded class discussions through out the semester. The prompts for each discussion will cover overarching topics from one or more modules. Your classmates will be able to see your posts. Please read Web Etiquette.
Exams
There will be three online proctored exams and one comprehensive online proctored final exam. Exams will consist of two parts (an online part and a take home part) and they will be open for about five days. Once you start the online exam you will have three hours to complete it and two attempts per exam are allowed. The take home part will be submitted on canvas as a pdf file, and the work from each online exam and final exam must also be submitted and justified as a single PDF.
Failure to justify or submit your worked out solutions will result in a grade of zero for the exams and final exam. Exams or final exam that are not properly justified are considered violations of academic honesty and will be treated with the same penalties as outlined in the Academic Honesty Policy in this syllabus. At any point in the semester, you may be asked to meet with an instructor via Zoom to justify your solution process to select problems and/or discuss concepts you have demonstrated in your work. You must set aside this time to meet within one week of notification from your instructor. If you are unable to properly justify your submitted work, you will forfeit credit on the corresponding exam or final exam. Failure to attend requested meetings will result in a zero score on the corresponding exam/final exam.
For the online exams you will be allowed to use a printer paper with formulas and concepts written (not typed). The paper may only contain formulas, definitions, and concepts but not worked out examples or homework problems; the paper will be scanned and submitted along with the exam work as a single pdf file on canvas. Directions on how to submit work on canvas as well as a video of how to create a single pdf file are under the student resources module.
No make-up exams will be given unless documented proof is presented stating the unexpected emergency conflicts with the entire week in which the exam is to be taken. You must take the final exam to pass the course.
All exams will be remotely proctored (By Proctorio), thus a laptop or desktop web cam is necessary to take the exams.
Grading Policy
Grades are based upon the combination of points on a weighted scale. Points will be given for online homework, quizzes, exams and final exam.
Homework, quizzes and discussions make up 30% of the grade. Exams and Final Exam make up 70% .
Where A: 90-100% B: 80-89% C: 70-79% D: 60-69% F: 59 & below
Attendance Policy
Cerritos College Attendance and Grading policies: It is the responsibility of students to attend classes regularly and apply themselves to the college studies in which they are enrolled... Students not in attendance or late for the first class meeting are subject to drop. Students who are absent in excess of 10% of the total class hours are subject to drop. Students who are absent during the course add period are subject to drop.
This course is a three-unit course taught in a 18-week format. Total "class" hours for this course are 54 hours. This means that if you miss more than 6 hours (or the equivalent of two weeks since each week's "class time" is equivalent to three hours), you could be dropped. Again, federal law requires faculty to drop online students for non-participation.
Deadlines
It is the student’s responsibility to withdraw from the course before the deadline. Failure to officially withdraw from class will result in an “F” grade for the course.
Deadline to withdraw from the class without a “W” is September 5, 2023.
Deadline to withdraw from the class with a “W” is November 14, 2023.
Academic Integrity
If you are caught participating in an act of academic dishonesty, you will receive a disciplinary F in the course and your name will be reported to the appropriate academic dean.
Student-Teacher Communication
You may contact me:
Via Canvas (Inbox): Anytime during the semester. Please allow one to two days for a response.
Via e-mail to dcortez@cerritos.edu: Anytime during the semester. Please allow one to two days for a response.
Via voicemail: 562-860-2451 Ext: 2664. Please allow one to two days for a response.
How to communicate via email:
- Under subject: Full Name and Course you are enrolled
- Reason for your email: Concise and clear
Student Accessibility Services (SAS)
If you have a disability for which you are or may be requesting an accommodation, you are encouraged to contact both your instructor and the Student Accessibility Services at (562) 860-2451 ext.2335, as early as possible in the term. During the Spring 2023 semester, you may contact SAS by visiting their website for details at https://www.cerritos.edu/sas/
Technology Requirements
Basic Computer Skills
In order to succeed in a Mathematics online course, it is important for you to have access to a computer as well as general computer skills. You must be able to connect to and navigate the internet as well as use e-mail comfortably.
Supplies
You will need a computer with the ability to open Adobe Acrobat Reader, Microsoft Word, Power Point and Adobe Flash to play videos.
Cerritos College Computer Lab
As a registered student you may access this course using any properly equipped Cerritos College computer lab computer. You will need a current Cerritos College Student ID in order to use the campus lab facilities. Even if you rely on machines in the campus labs, to utilize the email aspect of a course, you must have your own email account. Free email accounts are readily available from many online sources such as Google, Yahoo, and Hotmail.
Technical Support
Please contact me via the Inbox or email (dcortez@cerritos.edu) early in the week if you do not understand instructions. Do not wait until the day an assignment is due or even the weekend the assignment is due to work on the assignment. If you have problems then, I will not be able to help you. Remember, late assignments, for whatever reason, will be considered late.
If you have technical problems, please contact the Online E-Courses Technical Support link (TNStudentHelp@cerritos.edu). I cannot help you with technical problems however, you may wish to let me know that you are having technical problems and that you have contacted Tech Support.
You may also be able to get assistance from the Student Success Center. Their Web site can be found at: http://cms.cerritos.edu/sc/.
Web Etiquete
- Be Respectful to your fellow classmates and instructor
- Be aware that what you write may be misconstrued, so think about it before you send it.
- Do not write in all capitals. This is considered SHOUTING
- Do not belittle any of your classmates opinions and ideas. Everyone is entitled to their own ides whether you like it or not, it is ok to disagree in a constructive way
- Do not write in texting language. If you are "U" make sure you spell out you
- Do not expect immediate responses to questions. Just because this is an online class does not mean that fellow students and/or instructor is always online and available. All questions will be answered within 24 hours unless it is the weekend, then questions will be answered on Monday
Math 112 S Weekly Tentative Schedule Fall 2023 (Subject to change)
M112 S Syllabus_MW 1PM_32414_Fall 2023.docx
M112 S Syllabus_MW 1PM_32414_Fall 2023.pdf
|
WEEK |
DATE |
Section |
|
Week 1 |
M, Sep 4
|
Labor Day No class |
|
|
W, Sep 6
|
Sec. 1.1 What Are Data? Skills Quiz 1 (Ch 1) Sec. 1.2 Classifying and Storing Data Sec. 1.3 Investigating Data |
|
Week 2 |
M, Sep 11
|
Sec. 1.4 Organizing Categorical Data Quiz 1 (Chapter 1) Sec. 1.5 Collecting Data to Understand Causality |
|
|
W, Sep 13
|
Sec. 2.1 Visualizing Variation in Numerical Data Sec. 2.2 Summarizing Important Features of a Numerical Distribution |
|
Week 3 |
M, Sep 18
|
Sec. 2.3 Visualizing Variation in Categorical Variables Skills Quiz 2 (Ch 2) Sec. 2.4 Summarizing Categorical Distributions |
|
|
W, Sep 20
|
Sec. 2.5 Interpreting Graphs Quiz 2 (Chapter 2) Sec. 3.1 Summaries for Symmetric Distributions |
|
Week 4 |
M, Sep 25
|
Sec. 3.2 What’s Unusual? The Empirical Rule and z-scores Skills Quiz 3 (Ch 3) Sec. 3.3 Summaries for Skewed Distributions |
|
|
W, Sep 27
|
Sec. 3.4 Comparing Measures of Center Sec. 3.5 Using Boxplots for Displaying Summaries |
|
Week 5 |
M, Oct 2 |
Review |
|
|
W, Oct 4
|
****Exam 1**** (Chapters 1, 2 & 3) |
|
Week 6 |
M, Oct 9
|
Sec. 4.1 Visualizing Variability with a Scatterplot Skills Quiz 4 (Ch 4) Sec. 4.2 Measuring Strength of Association with Correlation |
|
|
W, Oct 11
|
Sec. 4.3 Modeling Linear Trends Quiz 4 (Chapter 4) Sec. 4.4 Evaluating the Linear Model |
|
Week 7 |
M, Oct 16
|
Sec. 5.1 What is Randomness? Skills Quiz 5 (Ch 5) Sec. 5.2 Finding Theoretical Probabilities |
|
|
W, Oct 18 |
Sec. 5.3 Associations in Categorical Variables Quiz 5 (Chapter 5) Sec. 5.4 Finding Empirical and Simulated Probabilities |
|
Week 8 |
M, Oct 23
|
Sec. 6.1 Probability Distributions Are Models of Random Experiments Skills Quiz 6 (Ch 6) Sec. 6.2 The Normal Model Quiz 6 (Chapter 6) |
|
|
W, Oct 25 |
Review |
|
Week 9 |
M, Oct 30
|
****Exam 2**** (Chapters 4, 5 & 6) |
|
|
W Nov 1
|
Sec. 7.1 Learning about the World through Surveys Skills Quiz 7 (Ch 7) Sec. 7.2 Measuring the Quality of a Survey |
|
Week 10 |
M, Nov 6
|
Sec. 7.3 The Central Limit Theorem for Sample Proportions Quiz 7 (Chapter 7) Sec. 7.4 Estimating the Population Proportion with Confidence Intervals |
|
|
W, Nov 8
|
Sec. 8.1 The Essential Ingredients of Hypothesis Testing Sec. 8.2 Hypothesis Testing in Four Steps Skills Quiz 8 (Ch 8) |
|
Week 11 |
M, Nov 13
|
Sec. 8.3 Hypothesis Tests in Detail Sec. 8.4 Comparing Proportions from Two Populations Quiz 8 (Chapter 8) |
|
|
W, Nov 15
|
Sec. 9.1 Sample Means of Random Samples Sec. 9.2 The Central Limit Theorem for Sample Means Skills Quiz 9 (Ch 9) |
|
Week 12 |
M, Nov 20
|
Sec. 9.3 Answering Questions about the Mean of a Population Sec. 9.4 Hypothesis Testing for Means Quiz 9 (Chapter 9) |
|
|
W, Nov 22 Thanksgiving |
Sec. 9.5 Comparing Two Population Means Sec. 9.6 Overview of Analyzing Means |
|
Week 13 |
M, Nov 27 |
Review |
|
|
W, Nov 29
|
***Exam 3*** (Chapters 7, 8 & 9 ) |
|
Week 14 |
M, Dec 4
|
Sec. 10.1 The Basic Ingredients for Testing with Categorical Variables Sec. 10.2 The Chi-Square Test for Goodness of Fit Sec. 10.3 Chi-Square Tests for Associations between Categorical Variables |
|
|
W, Dec 6 |
Final Review |
|
Week 15 |
M, Dec 11 |
Finals Week: No class |
|
|
W, Dec 13 |
****Final Exam**** |
The instructor reserves the right to make any changes to the course schedule.
Course Summary:
| Date | Details | Due |
|---|---|---|