Course Syllabus

Spring 2020 Last 8 weeks 

AED 90.06 ( 30468)  Math Support: Statistics                                       

For the rest of the semester we will have a zoom conference call from 12:00pm - 1:00pm.

Log in to each class meeting Tuesday & Thursday  by clicking on the following link:     

Tuesday & Thursday  12:00pm - 1:00pm Links to an external site.

 

 

 

LUMEN OHM Links to an external site.

 

Download a graphing or Scientific calculator  Links to an external site.

 

Lec: 30468                     Day: T TH              Time: 12:00 p.m. – 12:30 p.m.                Room: MP 104           

Lab: 30469                      Day: T TH             Time: 12:30 p.m. – 1:00 p.m.                   Room: MP 104

Instructor: Lorena Ortiz            e-mail:             lortiz@cerritos.edu

Course Description:

This course is a math support course. The concepts of this course will help students build skills and understanding in topics related to the introduction of descriptive and inferential statistics. Students will receive support in understanding mean, standard deviation, variance, probability, random variables, central limit theorem, hypothesis testing, confidence intervals, t-distribution, chi-square distribution, F-distribution, linear regression, and linear correlation. Students will gain conceptual knowledge and use analytical thinking to solve problems. The combination lecture/lab format will provide a foundation for introductory statistics. This course is open entry/open exit.


Student Learning Outcomes

  1. Identify and compute interpret basic statistics
  2. Solve application problems using sampling and distribution
  3. Interpret confidence interval
  4. Determine the validity of a statement using hypothesis testing
  5. Evaluate and apply basic statistics to everyday situations

Course Content:

  • Summarizing data graphically and numerically;
  • Descriptive statistics:  measures of central tendency, variation, relative position, and levels/scales of measurement;
  • Sample spaces and probability;
  • Random variables and expected value;
  • Sampling and sampling distributions;
  • Discrete distributions – Binomial;
  • Continuous distributions – Normal;
  • The Central Limit Theorem;
  • Estimation and confidence intervals;
  • Hypothesis Testing and inference, including t-tests for one and two populations, and Chi-square test;
  • Correlation and linear regression and analysis of variance (ANOVA);
  • Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education; and
  • Statistical analysis using technology such as SPSS, EXCEL, Minitab, or graphing calculators.

Textbook:

Great newsyour textbook for this class is available for free online!
Statistics from OpenStax Links to an external site., ISBN 1-947172-05-0

You have several options to obtain this book:

You can use whichever formats you want. Web view is recommended -- the responsive design works seamlessly on any device.


Disabled Students Students with limitations due to a disability may receive support services and instruction from Disabled Student Programs and Services (DSPS). Students who wish to apply for DSPS services should call (562) 860-2451, ext. 2333; (562) 467-5043/TTY; (866) 971-0948/VP; or visit the https://www.cerritos.edu/dsps/ Links to an external site.

All information will remain confidential.

  • Academic dishonesty and plagiarism will result in a failing grade on the assignment. Using someone else's ideas or phrasing and representing those ideas or phrasing as our own, either on purpose or through carelessness, is a serious offense known as plagiarism. "Ideas or phrasing" includes written or spoken material, from whole papers and paragraphs to sentences, and, indeed, phrases but it also includes statistics, lab results, art work, etc.  Please see the Cerritos College Handbook for policies regarding plagiarism, harassment, etc. https://www.cerritos.edu/academic-affairs/handbook/default.htm Links to an external site.

Homework: Complete lab assignments from your math course, eLumen, My Labs Plus, Open Stax assignments or canvas homework assignments.

Guideline:

  1. Overview: Videos Or Reading material.

STUDY SKILL: Reading or watching video mini lessons at your own pace and writing out all examples each video works out or textbook outlines, before each lecture is given by your Instructor. (active learning)

  1. Practice: Mandatory with 100% success
  2. Apply Word Problems: Mandatory 80-100% success
  3. Mastery Quiz: Mandatory 80%-100% success

 

Make time for this service, make it your study area, you will succeed if you invest your time with productive study habits.

Required materials Textbook, Scientific calculator (for certain sections only), ruler, graph paper (a few sheets), stapler. Submit all your work on 11in. X 8.5 paper and use pencil only. Always staple your work if needed.

Academic Dishonesty

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 deans. Examples of academic dishonesty include, but are not limited to copying from another student’s homework, quiz, or exam, allowing another student to copy your work and copying homework solutions from the text solution manual.

Attendance Policy

Daily attendance is required in this course and is important for your success in the course. It is your responsibility to contact another student, not the instructor, to find out what you missed. If you miss three classes or 6 hours of instruction, the instructor may drop you from the class. Two days late is equivalent to one absence. Participation is very important, in addition to being in class daily the student is responsible of not being late and not leaving class early. It is the student’s responsibility to withdraw from the course before the deadline.

Students enrolling in Cerritos College assume an obligation to abide by all District regulations on District-owned or controlled property or at District-sponsored or supervised functions. It is recommended to include a statement of classroom conduct in your syllabus and to address any inappropriate behavior as soon as possible. The office of Judicial Affairs Links to an external site. has useful information which would help you manage student conduct: VIDEO Warning: the video links on this page will open a new popup window. Please adjust your browser to allow popups. Use the following CAIR Referral form Links to an external site. to address inappropriate student behavior.

Discrimination and Harassment It is the policy of the Cerritos Community College District to provide an educational, employment and business environment free of unwelcome sexual advances, requests or offers for sexual favors, and other verbal or physical conduct or communications constituting sexual harassment, as defined and otherwise prohibited by federal and state statutes. All employees of the District must abide by Board Polices and Administrative Procedures Links to an external site.

 

CELL PHONES MUST BE PUT ON SILENT MODE AND NOT ALLOWED ON TABLES DURNING CLASS TIME. Students cannot use their phones in class (no text messaging). Disruption of class and misbehavior will automatically have you removed from class.

Just a note: Do not hesitate to ask for help, as soon as you are having trouble with any section of this course. Please, ask for help.

Name _____________________                     Contact number:   ________________________

Name _____________________                     Contact number: ________________________

 

 

 

 

 

  

 

Week 1

Week 1

Week 2

Week 2

What are Data?

Classifying and Storing Data

 

 

Exponent properties with negative exponents

 

Organizing and Storing Data

Collecting Data to Understand Causality

 

Scientific notation

Visualizing Variation in Numerical Data

Summarizing important Features of a Numerical Distribution

 

Addition and subtraction, like terms, and polynomial terminology

Visualizing Variation in Categorical Variables

Summarizing Categorical Distributions

Interpreting Graphs

 

Formulas and the order

of operations

Week 3

Week 3

Week 4

Week 4

Summaries for Symmetric Distributions What’s Usual?

 

Distributive, commutative, and associative properties, and multiplying polynomials

The Empirical and z – Scores

 

 

 

Writing and simplifying expressions

Summaries for the Skewed

Distributions

Comparing Measures of Center

 

solving equations with one variable

Using Box Plots for Displaying Summaries

 

 

 

Pythagorean theorem

Week 5

Week 5

Week 6

Week 6

Visualizing Variability with a Scatter plot

 

 

Distance formula

Measuring Strength of Association with Correlation

 

Operations and relationships

Modeling Linear trends Evaluating the Linear Model

 

Functions with the order of operations

What is Randomness? Random Variables

 

 

Solving linear equations

Week 7

Week 7

Week 8

Week 8

Finding Theoretical Probabilities

 

 

Modeling then solving linear equation applications

Associations in Categorical

Variables

 

Modeling linear situations with tables, graphs, and equations

Finding Empirical Probabilities

 

 

Slope and y-intercept from tables, graphs, and equations

Probability Distributions Are Models of Random Experiments

 

Writing equations of lines using slope and a point or two points

Week 9

Week 9

Week 10

Week 10

The Normal Model

                          

 

Rational function modeling

 

The Normal Model

 

 

Solving non-linear equations

Measuring the quality of the survey

 

Literal equations

The Central Limit Theorem for Sample Proportions

 

Greatest Common factor GCF

Week 11

Week 11

Week 12

Week 12

Estimating the Population Proportion with Confidence Intervals

Factoring

 

 

Factoring

Quadratic function modeling

The Essential Ingredients of Hypothesis Testing

Systems of two equations by graphing

 

Hypothesis Testing

 

System of equations by substitution and elimination

Week 13

Week 13

Week 13

Week 13

Hypothesis Testing in Detail

Sample Means of Random Samples

 

The Central Limit Theorem for Sample Means

Answering Questions about the Mean of a Population

Week 14

Week 14

Week 14

Week 14

Hypothesis Testing for Means

Hypothesis Testing for Means

t- distribution

Chi-square distribution

Week 15

Week 15

Week 15

Week 15

F- distribution

REVIEW

REVIEW

Final Exam

 

Tentative Schedule

Course Summary:

Date Details Due
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