FALL 2020 Course Offerings

MATH 201 - Elementary Statistics

Description

Hours: Three hour lecture per week Description: Critical reasoning using a quantitative and statistical problem-solving approach to solving real-world problems. Topics include: probability and statistics, sample data, probability and empirical data distributions, sampling techniques, estimation and hypothesis testing, ANOVA, and correlation and regression analysis. Students will use standard statistical software to analyze real world and simulated data.

Meeting Information

Info current as 4/26/2024
Days Times Room Meeting Dates Instructor
ARR Online 8/22/2020 - 12/18/2020 Monica Dabos

Status: Open
Class Number: 1422
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/22/2020 - 12/18/2020
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 23
Available Seats: 1
Wait List Capacity: 10
Wait List Total: 0

Enrollment Information

  • Lower Division
  • B4: Math - Quantitative Reason

Notes

This course offers basic algebra help in the support sections of MATH 97 ( 1 unit) which are open to all but required for students needing support. Additionally, students are strongly recommended to sign up for math labs MATH 399 Statistics sections for extra help with the software and statistics content.