Course Syllabus

Math 112 S Elementary Statistics Spring 2024

Class Information

Ticket # 33007

Semester: Spring 2024                      Time: MW 8:00  - 9:50 am          Room: MCIS 113               Jan 8, 2024 - May 17, 2024

 LAB for this course (33008)             Time: MW 10:00 - 10:50 am       Room MCIS 113                              

Instructor: Daniela Cortez                 e-mail: dcortez@cerritos.edu                      Phone: 562-860-2451 ext. 2664

 

Textbook: Introductory Statistics: Exploring the World Through Data, 3^rd 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 11:00 am -12:00 pm: https://cerritos-edu.zoom.us/j/86191028100

On Tuesdays from 12:30 - 1:30 pm: https://cerritos-edu.zoom.us/j/87240488865

Office Hours During Finals Week

Monday 5/13/24, Tuesday 5/14/24 and Wednesday 5/15/24 from 10:00 am - 11:00 am

 

Embedded Tutoring (Coming up)

Via TechConnect Zoom (Tab on the left) or click on the links below

 

Success Center Tutoring: Visit the website or use the link below

Cerritos Success Center Math Tutoring

Student Learning Outcomes:

1. Identify, compute, and interpret basic statistics such as measures of center, variation, and position, and understand the distinction between statistic and a parameter
2.  Solve application problems using the appropriate distribution, such as binomial, normal, and sampling
3.  Construct and interpret confidence intervals for appropriate population parameters.
4. 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.

The deadline to withdraw from the class without a “W” is January 30, 2024.

The deadline to withdraw from the class with a “W” is April 17, 2024.

 

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_33007_Spring 2024.docx

M112 S Syllabus_MW_33007_Spring 2024.pdf

WEEK	DATE	Section
Week 1	M, Jan 8	Introduction/syllabus, Mandatory Check-in, Syllabus Quiz, Discussions Sec. 1.1 What Are Data? Sec. 1.2 Classifying and Storing Data                                                       Skills Quiz 1 (Ch 1)
	W, Jan 10	Sec. 1.3 Investigating Data
Week 2	M, Jan 15	Observance of Martin Luther King’s Birthday
	W, Jan 17	Sec. 1.4 Organizing Categorical Data                                                                   Quiz 1 (Chapter 1) Sec. 1.5 Collecting Data to Understand Causality
Week 3	M, Jan 22	Sec. 2.1 Visualizing Variation in Numerical Data                                               Skills Quiz 2 (Ch 2) Sec. 2.2 Summarizing Important Features of a Numerical Distribution
	W, Jan 24	Sec. 2.3 Visualizing Variation in Categorical Variables
Week 4	M, Jan 29	Sec. 2.4 Summarizing Categorical Distributions                                                    Quiz 2 (Chapter 2) Sec. 2.5 Interpreting Graphs
	W, Jan 31	Sec. 3.1 Summaries for Symmetric Distributions
Week 5	M, Feb 5	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, Feb 7	Sec. 3.4 Comparing Measures of Center
Week 6	M, Feb 12	Sec. 3.5 Using Boxplots for Displaying Summaries                                               Review
	W, Feb 14	****Exam 1**** (Chapters 1, 2 & 3)
Week 7	M, Feb 19	Observance of George Washington’s Birthday
	W, Feb 21	Sec. 4.1 Visualizing Variability with a Scatterplot                                            Skills Quiz 4 (Ch 4)
Week 8	M, Feb 26	Sec. 4.2 Measuring Strength of Association with Correlation Sec. 4.3 Modeling Linear Trends
	W, Feb 28	Sec. 4.4 Evaluating the Linear Model                                                                     Quiz 4 (Chapter 4)
Week 9	M, Mar 4	Sec. 5.1 What is Randomness? Sec. 5.2 Finding Theoretical Probabilities                                                           Skills Quiz 5 (Ch 5)
	W, Mar 6	Sec. 5.3 Associations in Categorical Variables
		Spring Break March 11-15
Week 10	M, Mar 18	Sec. 5.4 Finding Empirical and Simulated Probabilities                                   Quiz 5 (Chapter 5) Sec. 6.1 Probability Distributions Are Models of Random Experiments
	W, Mar 20	Sec. 6.2 The Normal Model
Week 11	M, Mar 25	Review                                                                                                                      Skills Quiz 6 (Ch 6)
	W, Mar 27	****Exam 2**** (Chapters 4, 5 & 6)
Week 12	M, Apr 1	Sec. 7.1 Learning about the World through Surveys                                        Skills Quiz 7 (Ch 7) Sec. 7.2 Measuring the Quality of a Survey
	W, Apr 4	Sec. 7.3 The Central Limit Theorem for Sample Proportions
Week 13	M, Apr 8	Sec. 7.4 Estimating the Population Proportion with Confidence Intervals Quiz 7 (Chapter 7) Sec. 8.1 The Essential Ingredients of Hypothesis Testing
	W, Apr 10	Sec. 8.2 Hypothesis Testing in Four Steps                                                         Skills Quiz 8 (Ch 8)
Week 14	M, Apr 15	Sec. 8.3 Hypothesis Tests in Detail                                                                     Sec. 8.4 Comparing Proportions from Two Populations                                 Quiz 8 (Chapter 8)
	W, Apr 17	Sec. 9.1 Sample Means of Random Samples
Week 15	M, Apr 22	Sec. 9.2 The Central Limit Theorem for Sample Means                                  Skills Quiz 9 (Ch 9) Sec. 9.3 Answering Questions about the Mean of a Population
	W, Apr 24	Sec. 9.4 Hypothesis Testing for Means                                                                     Quiz 9 (Chapter 9) Sec. 9.5 Comparing Two Population Means
Week 16	M, Apr 29	Review
	W, May 1	***Exam 3*** (Chapters 7, 8 & 9 )
Week 17	M, May 6	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, May 8	Final Review
Week 18	M, May 13	****Final Exam****
	W, May 15	Finals Week: No class

The instructor reserves the right to make any changes to the course schedule.

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