Course Syllabus

Final_Math 13 and Math 213 Fall 2020 Syllabus (11).docx

Course Overview

Math 13 Intro to Statistics Acceptable for credit: CSU, UC

Introduction to theory and practice of statistics. Collecting data: Sampling, observational and experimental studies. Organizing data: Univariate and bivariate tables and graphs, histograms. Describing data: Measures of location, spread, and correlation. Theory:

Probability, random variables; binomial and normal distributions. Drawing conclusions from data: Confidence intervals, hypothesis testing, z-tests, t-tests, and chi-square tests; one-way analysis of variance. Regression and non-parametric methods.

MATH 213 Support for Statistics 2 units, 2 hours lecture (P/NP) Corequisite(s): MATH 13

Competencies and concepts needed in statistics: Arithmetic, pre algebra, elementary and intermediate algebra, and descriptive statistics: Descriptive data analysis, solving and graphing linear equations, and modeling with linear functions. Intended for students who are concurrently enrolled in MATH 13

Student Learning Outcomes

Course Description

Student Learning: Outcomes

Math 13 Intro to Statistics Acceptable for credit: CSU, UC Introduction to theory and practice of statistics. Collecting data: Sampling, observational and experimental studies. Organizing data: Univariate and bivariate tables and graphs, histograms. Describing data: Measures of location, spread, and correlation. Theory:

MATH 213 Support for Statistics 2 units, 2 hours lecture (P/NP) Corequisite(s): MATH 13

Create inferences about populations based on data obtained from samples.

Decide whether or not a particular analytical methodology is appropriate given a particular statistical or probabilistic context and justify your response.

Formulate analyses of graphical relationships between variables in a sample or a population.

Student Learning Outcomes

Create inferences about populations based on data obtained from samples.

For given sampling methods, decide whether or not a particular method of inference (Hypothesis Test or Confidence Interval) is appropriate and justify the response.

Analyze the relationship between 2 variables, using the tools of linear regression.

Instructor Communication and Office Hours

Online Office Hrs/Days: MW: 8:50pm to 9:30pm Phone: (510) 258-7610

Email: uokpalaugo@peralta.edu

Available by phone 24/7

If I do not answer, leave a brief message and you phone number, and I will call you back within 24 hours.

Virtual office hours via zoom by appointment.

Textbook or Course Materials

Required Course Material: OLI Concepts in Statistics Access Code by Carnegie Mellon University

Course Title: Intro to Statistics OLI Coarse Kev: Math13-41399

Assignments and Grading

Testing:

There will be a minimum of 4 exams, Multiple quizzes, Module Checkpoints and Projects.

Examination grades will be assigned according to the following scale:

A 90-100 B 80-89 C 70-79 D 60-69 F Below 60

Homework: 20%; Exams - 45%; Quizzes 20%; Projects 10%; Class Participation 5%.

Cheating during an exam or a quiz will earn you a score of zero for that exam or quiz.

Exam 1	Modules 01 -- 10	TBA
Exam 2	Modules 11--17	TBA
Exam 3	Modules 18 --24	11/16/2020
Exam 4	Modules 25 – 30 and ANOVA	As Scheduled

* Exam dates can be changed at the discretion of the instructor, and any

announcements in class are Considered official addendum to this syllabus.

OLI due dates are on OLI

Canvas due dates are here on Canvas.

Important Notes

If you are a student with a disability, please let me know about your needed accommodations immediately. If you are a new student and need evaluation or verification of your needed accommodations, please contact Disability Services and Programs for Students.
Other important student support resources.

Where to Find Help:

The Zoom meeting link below is for students to join a tutoring session.

You will first need to sign in on https://laney.edu/mathematics/math-lab/ where the Zoom link and instructions have also been posted.