Mathematics 160  print version

 

ELEMENTARY STATISTICS

Cuyamaca Community College

Spring Semester, 2017

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Section 8207

Mon & Wed 12:30 pm - 2:20 pm H-128

​4 hours lecture, 4 units

 

Mary Touchet

mary.touchet@gcccd.edu

​Office Hours By appointment, H-135

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Course Description

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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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 before the 4th week.

 

Important Dates (Academic Calendar)

* January 30...First day of regular semester classes

* February 10…Last day to add, or drop classes (without a ‘W’ on transcripts)

* February 17 – 20…Holiday – President’s Weekend (No Classes)

* March 3…Last day to apply for P/NP (CR/NCR)

* March 10…Last day to apply for fall 2016 Degree/Certificate

* March 27 – April 1…Spring Break (No Classes all week)

* April 28…Last day to drop semester length classes (with a "W")

* May 27…Last day of semester length classes

* May 29…Holiday – Memorial Day (No Classes)

* May 30 – June 5…Final Exams Schedule: No regular classes

* June 5...Final Exam 12 - 2 pm

 

Course Schedule (Subject to Change)

Jan 30 & Feb 1...Mod 1, 2, 3, 4

Feb 6 & 8...

Feb 13 & 15...

Feb 20...No Class, campus is closed

Feb 22...

Feb 27 & Mar 1...

Mar 6 & 8...

Mar 13 & 15...

Mar 20 & 22...

Mar 27 & Mar 29...No Classes, campus is closed

Apr 3 & 5...

Apr 10 & 12...

Apr 17 & 19...

Apr 24 & 26...

May 1 & 3

May 8 & 10...

May 15 & 17...

May 22 & 24...

May 29...No Class, campus is closed

May 31...Final Exam Schedule - No Class

June 5, Mon...Final Exam 12 PM - 2 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. 15% OLI Module Checkpoints  "Wrap up"

   3. 10% OLI Unit Checkpoints "Review"

   4. 15% Other Homework, Labs, Classwork & Class Quizzes

   5. 20% Exams

   6. 20% Final Exam

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

3. Quizzes:  Quizzes will be given throughout the semester to determine students' learning from OLI and classwork.  These quizzes are connected to the homework completed.  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. 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.

• You may be dropped from the class for missing twice the number of hours the class meets per week. (more than 8 hours)

• Please see the class schedule or 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!)

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Course Entrance Skills

Without the following skills, competencies, and/or knowledge, students entering this course will be highly unlikely to succeed:

1. Working with Algebraic Expressions:

   1. Simplify and evaluate algebraic expressions

   2. Have a thorough understanding of order of operations

   3. Understand and use essential terminology

   4. Evaluate equations written in function notation

2. Graphing:

   1. Plot points in the X-Y plane

   2. Graph the equation of a line

   3. Write the equation of a line given its slope and y-intercept

   4. Interpret graphical representations such as points and lines

3. Solving:

   1. Solve formulas for a specific variable

   2. Evaluate formulas with multiple independent variables

   3. Solve real-world problems using problem-solving strategies and techniques

4. Radicals and Exponents:

   1. Simplify radical expressions using the basic operations

   2. Simplify and evaluate expressions involving integer exponents

   3. Use scientific notation

 

Method of Evaluation

A grading system will be established by the instructor and 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 this course, 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.

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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.

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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.