Course Syllabus

Math 110: Course Schedule (Fall 2021)

All assignments are due in class (unless otherwise indicated)

Sections corresponding to lab assignments/videos/notes

Due Dates

Assignments

Week 1: Introduction, Sections 1.1, 1.2  

Tuesday Aug 24

·         Week 1 Discussion 

Week 1: Introductions, Sections 1.1, 1.2

Thursday Aug. 26  

·         Week 1 Lab Assignments

Week 2: Sections 1.3, 1.4, 2.1, 2.2  

Tuesday August 31

·         Week 2 Discussion Questions

Lab 1.1 due

Week 2: Sections 1.3, 1.4, 2.1, 2.2  

Thursday Sept 2

·        Chapter 1 Homework

·         Lab Assignment 1.2 and 1.3 due

Week 3: Sections 2.3, 2.4, 2.5, 2.6, 2.7 

Tuesday Sept 7

·         Week 3 Discussion Questions

Week 3: Sections 2.3, 2.4, 2.5, 2.6, 2.7 

Thursday Sept 9

·         Chapter 2 Homework

·         Lab Assignment 2.1, 2.2 due

Week 4: Chapter 1, 2

Tuesday, Sept 14 Thursday Sept 16

·        Review for Exam/Extra Credit Practice Test

Lab Assignment 2.3, 2.4, 3.1 due

·        9/16: Exam 1 – Chapters 1, 2

Week 5: Sections 3.1, 3.2, 3.3, 3.4

Tuesday Sept 21

·         Week 5 Discussion Questions

Week 5: Sections 3.1, 3.2, 3.3, 3.4

Thursday Sept 23

·         Chapter 3 Homework

·         Week 5 Lab Assignments

Week 6: Sections 4.1, 4.2, 

Tuesday Sept 28

·         Week 6 Discussion Questions

Week 6: Sections 4.3, 4.4,

Thursday Sept 30

·         Chapter 4 Homework

·         Week 6 Lab Assignments

Week 7: Sections 6.2, 7.1

Tuesday Oct 5

·         Week 7 Discussion Questions

Week 7: Sections 6.2, 7.1

Thursday Oct 7

·         Chapter 5 and 6 Homework

·         Week 7 Lab Assignments

Week 8: Chapter 3, 4, 6, 7

Tuesday Oct 12

Thursday Oct 14

·         Review for Exam/Extra Credit Practice Test

·         Exam 2 – Chapters 3, 4, 5 and 6 Due in class

Week 9: Sections 8.1, 8.2, 8.3

Tuesday Oct 19

·         Week 9 Discussion Questions

Week 9: Sections 8.1, 8.2, 8.3

Thursday Oct 21

·         Chapter 8 Homework

·         Week 9 Lab Assignments

Week 10: Sections 9.1, 9.3, 9.4, 9.5

Tuesday Oct 26

  • Week 10 Discussion Questions

Week 10: Sections 9.1, 9.3, 9.4, 9.5

Thursday Oct 28

·        Chapter 9 Homework

  • Week 10 Lab Assignments

Week 11: Chapter 8, 9

Tuesday, Nov 2 Thursday Nov 4

·     Review/Extra Credit Practice Test

  • Exam 3– Chapters 8, 9 Due in class

Week 12: Sections 10.1, 10.3, 10.4

Tuesday Nov 9

·         Week 12 Discussion Questions

·         Statistics Project Pre-Part 1

 

Thursday Nov 11

Veteran's Day

No Class Meeting

·        

Week 13: Sections 12.1, 12.2, 12.3, 12.4, 12.5

Tuesday Nov 16

  • Week 13 Discussion Questions
  • Statistics Class Survey

Week 13: Sections 12.1, 12.2, 12.3, 12.4, 12.5

Thursday Nov 18

·   Chapter 10, 12 Homework

  • Week 13 Lab Assignments
  • Statistics Project Part 1

Week 14

Tuesday Nov 23

   Exam 4 – Chapters 10, 12 Due in class

 

Thursday Nov 25

Thanksgiving Day

No Class Meeting

Week 15

Tuesday, Nov 30

Thursday Dec 2

·    Review/Extra Credit Practice Test

  • Final Exam Due in class

Week 16

Tuesday, Dec 7

Thursday Dec 9

  • Statistics Project Part 2 Due in class

 

 

  • Introduction to Statistics Math 110 Course Syllabus

     

    Course Information

    Math 110, Fall 2021, 4 units

    LMC Brentwood Campus

    T/TH:   4:35pm – 6:40pm

    Lab hours: Tuesdays: 2:45-4:15pm

    Thursdays: 3:30-4:15pm

     

    Instructor Information

    Name:  Elizabeth Zapata

    Email:   ezapata@losmedanos.edu

    Office Hours: TBD

     

     

    What materials do I need for this class?

    • Course Materials:
      • Math 110 – Introduction to Statistics OpenStax Module (available for purchase in the bookstore or free on Canvas)
      • Introductory Statistics OpenStax ISBN-13:978-1938168208, view for free online -  https://openstax.org/subjects
      • Three ring binder, binder dividers, binder paper, pencil, eraser, ruler and stapler.
      • Graphing calculator. Recommend TI-84plus. Cell phone calculators are not permitted during a test.

     

    What is Math 110?

    This transfer level class provides an understanding of the scientific method and the role of statistics in making inferences based on observed data in applications to business, the natural and social sciences. The class emphasizes problem solving through lecture, demonstration, and small group work. Topics include Describing Data, Probability, Hypothesis Testing, Confidence Intervals, Correlation, Regression, and Analysis of Variance.

     

    How is my grade determined?

    Homework/Lab Assignments       20%         

    Stats Project                                   10%

    Exams                                            50%         

    Final Exam                                     20%         

    Total                                             100%

     

    Approximate Grading Scale

    A............................90-100%

    B.............................80-89%

    C.............................70-79%

    D.............................60-69%

    F........................below 60% 

     

     

     

     

    What is Hours by Arrangement, the Math Lab and Lab Assignments?

    • This class requires additional 2.25 hours by arrangement per week (total of 36 hours for the semester).
    • In the Math lab, you will work on exploratory assignments “Lab Assignments” that are in the Module and posted on Canvas.
    • Remember to sign in with your student ID# each time you visit the Math Lab so I can see that you have been there for at least 2.25 hours each week.
    • The Brentwood Math Lab is in room 15, and the hours are M-Th: 8 am to 8 pm, F: 8 am to 4 pm.
    • Pittsburg has the same hours and is located in MA 102.
    • Instructors and tutors are available to help you complete these assignments. 
    • The assignments will be graded on completeness, clarity and correct answers.
    • I encourage collaboration with other classmates, though the work you hand in MUST BE YOUR OWN. 
    • Lab Assignments are due the following class period.
    • Late lab assignments will be accepted until the date of the test and will have a 20% penalty from final score. 
    • At the end of the semester your 3 lowest lab assignment grades will be dropped to account for situations where students are not able to complete assignments on time.

     

    What is the Stats Project?   

    Groups of two or three students will complete a statistics project on the topic of their choice.  This project will allow students to demonstrate their understanding of and their ability to use statistics in everyday life.  This project will be completed on two parts. More information on the project will be provided later in the semester. Group slide show presentations on December9th.

     

    What are the Exams and Final Exam?

    • There are 4 Exams: Chapter 1, 2, 3; Chapter 4, 5, 6, 7; Chapter 8, 9; Chapter 10, 11, 12, 13.
    • Each exam is worth 12.5% of your semester grade.
    • The Final Exam is worth 20% of your semester grade. 
    • The Final Exam is comprehensive
    • There are no make-up exams. If you know you have a conflict for one exam, please contact me ASAP.
    • Your final exam score can replace your lowest exam score, if your final exam score is higher.

     

    What is the attendance policy?

    Regular attendance is extremely important for your success. You will hear key concepts explained, see problems worked, get supervised time to practice problem-solving, and have a chance to ask questions. Missing too many days can cause students to fall behind and get frustrated.  If you are absent please contact instructor, check Canvas for assignments and ask a classmate for notes.  If you choose not to complete this course it is your responsibility to officially drop.  See the schedule of classes for appropriate deadlines.  I do reserve the right to drop any student who does not attend the first day or has extended absences.

     

    Accommodations      

    Students with documented learning and/or physical disabilities may receive reasonable classroom testing accommodations. Please make these arrangements with the instructor during office hours at the beginning of the semester or as soon as possible after documentation has been determined. Last minute requests may not be determined to be "reasonable."

    What is expected from all student?

    1. Attend all class sessions.
    2. Arrive to class 5 minutes before class starts.
    3. If you are late, quietly find your seat or sit in the back of the classroom until the break.
    4. Actively participate in class discussion and class work
    5. Maintain a positive learning environment.
    6. Turn off all electronic devices.
    7. Monitor your own progress and understanding.
    8. Keep up with all assignments and lectures
    9. Meet with teacher or math tutor with questions that may arise ASAP.
    10. Make some new friends and support each other.
    1. Students are expected to abide by LMC Student Code of Conduct, http://www.losmedanos.edu/studentcodeofconduct/

     

    Math 110 Course-Level Student Learning Outcomes (CSLOs):

     

    Statistical Literacy (PSLOS 1 and 2)

    CSLO 1: Based on statistical reasoning and supported by critical thinking, students should be able to read and critique simple statistics-based studies in order to make an informed judgment on the reliability of the statistical presentation or argument.

     

    Data Production

    CSLO 2: Students should be able to apply the basic principles of study design to develop and analyze the validity of simple experiments and sampling plans related to a given situation and goal.

     

    Data Exploration and Representation (PSLOS 2, 3, and 4)

    CSLO 3: Students will be able to examine raw data using graphical, tabular, and analytical exploratory tools in order to investigate and describe patterns in data with the goal of describing shape, center, and spread within a quantitative data set, making comparisons among data sets, and looking for relationships between data sets.

     

    Modeling and Inference (PSLOS 1, 3 and 4)

    CSLO 4: Students will analyze data to identify an appropriate statistical model, use technology to perform statistical tests or find confidence intervals, explain the concepts underlying inference, and interpret results in a context. Students will also use correlation coefficients and scatterplots to determine if a linear regression model is appropriate, then find, use, and interpret linear regression models when appropriate.

     

    The Role of Probability in Inference (PSLOS 1 and 2)

    CSLO 5: Students will be able to explain in layman’s terms how variability and probability are connected to statistical inference, as well as be able to interpret and apply basic laws and concepts of probability to sampling distributions.

Course Summary:

Course Summary
Date Details Due