Mathematics 160+060  print version                Contract of Success

ELEMENTARY STATISTICS+JUST-IN-TIME SUPPORT FOR ELEMENTARY STATISTICS

Cuyamaca Community College

Fall Semester, 2017

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Math 060 Section 9569

Tues & Thurs 9:30 am - 10:20 am H-133

Math 160 Section 9570

Tues & Thurs 10:30 am - 12:20 pm H-133

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Mary Touchet

mary.touchet@gcccd.edu

​Office Hours By appointment, H-135

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Course Description

Math 060

A review of the core prerequisite skills, competencies, and concepts needed in statistics. Intended for students who are concurrently enrolled in MATH 160, Elementary Statistics, at Cuyamaca College. Topics include concepts from arithmetic, pre-algebra, elementary and intermediate algebra, and descriptive statistics that are needed to understand the basics of college-level statistics. Concepts are taught through the context of descriptive data analysis. Additional emphasis is placed on solving and graphing linear equations and modeling with linear functions. This course is NOT intended for math, science, computer science, business, or engineering majors. Pass/No Pass only. Non-degree applicable.

Math 160

The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education.

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Math 160 Prerequisite

"C" grade or higher or "Pass" in MATH 096 or 103 or 110 or equivalent.

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Required Materials

Text:  Online textbook is on OLI: Concepts in Statistics using StatCrunch for labs

Software:  StatCrunch is required for this course. You will need to purchase access to the online statistical software package StatCrunch (available in the College Bookstore or online at http://www.statcrunch.com/).

Graphing Calculator: Our Department highly recommends and supports the use of TI Graphing Calculators in our Math Classes.  For this class in particular, I would recommend that you use a TI-84 Calculator for your required graphing calculator.

 

Important Dates (Academic Calendar)

* August 21...First day of regular semester classes

* September 1…Last day to add, or drop classes (without a ‘W’ on transcripts)

* September 4…Monday Holiday – President’s Weekend (No Classes on Campus)

* September 22…Last day to apply for P/NP (CR/NCR)

* October 13…Last day to apply for fall 2016 Degree/Certificate

* November 9…Last day to drop semester length classes (with a "W")

* November 10 – 11 …Friday Holiday – Veterans Day

* November 23 – 25…Thursday & Friday Holiday – Thanksgiving (No Classes)

* December 9…Last day of semester length classes

* December 11 – 16…Final Exams Schedule: No regular classes

* December 14...Final Exam 10 am - 12 pm

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Course Schedule (Subject to Change)

Unit 1: Modules 1, 2 & 3

Unit 2: Modules 4, 5 & 6

Unit 3: Modules 7, 8, 9, & 10

Unit 4: Modules 11, 12 & 13

Skip Unit 5: Module 14

Unit 6: Modules 15

Unit 7: Modules 16 & 17

Unit 8: Modules 18, 19 & 20

Unit 9: Modules 21, 22, 23

 

Aug 22 & 24...Mod 1, 2, 3; Mod 4, MI #I

Aug 29 & 31…MI #II, Mod 5; Mod 6

Sep 5 & 7...MI #III, Mod 7 parts 1; Mod 7 part 2

Sep 12 & 14...MI #IV, Mod 8 part 1; Mod 8 part 2

Sep 19 & 21...MI #V, Mod 8 part 3; Exam #1 (Unit 1 & 2, MI #I, II, & III)

Sep 26 & 28...MI #VI, Mod 9 (+lab); Mod 10

Oct 3 & 5... MI #VII, Mod 11 part 1; Mod 11 part 2 (+lab);

Oct 10 & 12...MI #VIII, Mod 11 part 3; Exam #2 (Unit 3, MI #IV, V & VI)

Oct 17 & 19...Module #IX, Mod 12; Mod 13

Oct 24 & 26...Mod 15; Mod 16 part 1

Oct 31 & Nov 2...Mod 16 part 2; Exam #3 (Unit 4 & 6, MI #VII, VIII & IX)

Nov 7 & 9...Mod 17 part 1; Mod 17 part 2

Nov 14 & 16...Mod 18; Mod 19

Nov 21...Mod 20

Nov 23...No Class, campus is closed

Nov 28 & 30...Mod 21; Exam #4 (Unit 7 & 8, MI #I-IX)

Dec 5 & 7...Mod 22; Mod 23

Dec 12, Tues...Final Review 9:30 AM -11:30 AM

Dec 14, Thurs...Final Exam 10 AM - 12 PM

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Course Requirements

1. Track your grade on the Learning Management System Canvas (not Blackboard)

   1. 20% OLI Interactive Reading Homework & Quizzes

   2. 10% OLI Module Checkpoints  "Wrap up"

   3. 10% OLI Unit Checkpoints "Review"

   4. 10% Math Interludes Homework & Quizzes

   5. 10% Other Homework, Labs, Classwork & Class Quizzes

   6. 20% Exams

   7. 20% Final Exam

2. Homework:  Homework problems will be assigned from each OLI module and also  from the material covered in class, including interludes.

3. Quizzes:  Quizzes will be given throughout the semester to determine students' learning from OLI, classwork and math interludes.  These quizzes are connected to the homework completed & class group work..  Minimal or no notification may be given before a quiz. Always be ready to take a quiz at any time.  There are no makeups.

4. Labs & Classwork:  This includes writings, research and in-class group work.  Points will be deducted for incomplete work or late work.

5. Exams:  There will be a few in-class exams given throughout the semester, each worth 100 points.  The comprehensive final exam is also worth 100 points.  (Note you must earn at least a "D" on the final to earn a passing grade in this course.)

6. Math 060 is Pass/No Pass only. You will not receive a letter grade for this course. To receive a passing grade, you must pass Math 160 with a C or better.

7. Math 160 Grading Scale (using a + and - scale):

A​      90% and above

B      80-89%

C      70-79%

D      60-69%

F      below 60%​

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Class Policies​

• Attend every class, arrive on time and remain for the entire class.  Please notify me before class begins if you need to leave early or if you are expecting to be late (email is appropriate).  Remember that quizzes may be given at random and cannot be made up.

• Four absences (4 days) during the first four weeks or six absences during the entire semester and you may be dropped – arriving significantly late or leaving significantly early counts as an absence.

• Please see the class welcome page on Canvas and connect with another student if you happen to miss a portion or all of class to be informed of changes to the schedule.

• Cheating and other inappropriate behavior is not tolerated and could lead toward being dropped from the class. (Read #4 a-g on the link to understand what Academic Dishonesty is.)

• No eating or drinking allowed in the STEM Center or in the computer lab H-119

• Be courteous and discrete in drinking and snacking in class (if we hear or smell what you are consuming, you should plan on sharing it!)

 

Method of Evaluation

A grading system will be implemented uniformly.  Grades will be based on demonstrated proficiency in subject matter determined by multiple measurements for evaluation, one of which must be essay exams, skills demonstration or, where appropriate, the symbol system.

1. Quizzes that measure students’ ability to describe, display and organize numerical data, and work with and apply concepts of probability including the central limit theorem.

2. Exams that measure students’ ability to carry out hypotheses tests and construct and interpret interval estimates of population parameters.

3. Computer laboratory assignments in which students will apply concepts of probability, display and analyze data using computer software, and analyze two-variable data using regression/correlation concepts along with appropriate computer software.

4. Homework that measures students’ ability to apply statistical and probability concepts to real-world applications.

 

Method of Instruction

1. Lecture and discussion

2. Teamwork

3. Distance learning

4. Computer-facilitated instruction

 

Out-of-Class Assignments

1. Problem sets

2. Lab activities

3. Exploratory activities and/or projects

4. Reading and/or writing assignments

 

Student Learning Outcomes

Upon successful completion of Math 160, students will be able to:

1. Summarize data graphically and numerically.

2. Use descriptive statistics (measures of central tendency, variation, relative position, and levels/scales of measurement) to describe a population and compare populations when appropriate.

3. Identify the sample space of an experiment or random trial.

4. Find and interpret the expected value and standard deviation of a Random variable.

5. Recognize the sampling distribution as a distribution of a sample statistic, the mean of the sampling distribution as the population mean, and the standard error of the sampling distribution as the standard deviation for the population (the Central Limit Theorem).

6. Construct and interpret confidence intervals.

7. Use hypothesis tests and inference (including t-tests for one and two populations and Chi-square test) to determine if a result is statistically significant for discrete (binomial) and continuous (normal) distributions.

8. Use analysis of variance (ANOVA) to analyze the differences between group means and their associated procedures such as variation among and between groups.

9. Perform statistical analysis using technology such as SPSS, EXCEL, Minitab, or StatCrunch.

Upon successful completion of Math 060, students will be able to:

1. Formulate questions that can be addressed with data, then organize, display, and analyze relevant data to address these questions and communicate results.

2. Apply numerical and algebraic reasoning and computational skills to support statistical analysis.

3. Construct, use, and interpret mathematical models, specifically linear functions to represent and communicate relationships in quantitative data.

 

STEM Achievement Center

To support your efforts to succeed in this class, it is highly recommended that you utilize the free tutoring services available in the STEM Achievement Center or Academic Resource Center (ARC).  The hours of both centers are Monday through Thursday 9:00 am - 6:00 pm and Friday 9:00 am - 2:00 pm.  Please understand these hours are subject to budget restrictions and may change.

 

Academic Accommodations

Academic accommodations are available for students with disabilities.  Please identify yourself to Disabled Students Programs and Services (DSP&S) staff so that the appropriate accommodations can be ensured.   Please show me your Authorized Academic Adjustment form to identify your accommodations.  If you suspect that you have a disability, or require services for any other type of disability please contact Disabled Student Programs & Services in the One Stop Center (A-113) or call at 619-660-4239.