Courses


Course Descriptions

Elementary Statistics – MATH 1401

Description

A course in basic statistics. Topics include descriptive statistics, probability, distributions, hypothesis testing, inferences, correlation, and regression.


MATH 1401 - Spring 2024

Course Instructor
MATH 1401 1AGXiaoyan Hu Chase
shannon.chase@mga.edu
MATH 1401 1BGFang Xie
fxie@ega.edu
MATH 1401 1CGBhavana Burell
burellb@fvsu.edu
MATH 1401 1DGKishore Pradhan
kishore.pradhan@sgsc.edu
MATH 1401 1EGSandra Anderson
sanderso@highlands.edu
MATH 1401 1FGJohn Trimboli
john.trimboli@mga.edu
MATH 1401 1GGGerald Agbegha
gagbegha@ggc.edu
MATH 1401 1HGBikash Das
bikash.das@ung.edu
MATH 1401 1IGLouis Camara
louis.camara@mga.edu
MATH 1401 1JGGreg Knofczynski
gknofczynski@georgiasouthern.edu
MATH 1401 1KGJianmin Zhu
zhuj@fvsu.edu
MATH 1401 1LGZephyrinus Okonkwo
zephyrinus.okonkwo@asurams.edu
MATH 1401 1MGChinenye Ofodile
chinenye.ofodile@asurams.edu
MATH 1401 1NGSamuel Cartwright
cartwris@fvsu.edu
MATH 1401 1OGLily Wang
lily.wang@mga.edu
MATH 1401 5AGCarol Love
carol.love@ung.edu
MATH 1401 5BGRichard Kilburn
richard.kilburn@mga.edu
MATH 1401 5CGTamara Gray
tamara.gray@mga.edu
MATH 1401 5DGLouisa Catalano
louisacatalano@clayton.edu
MATH 1401 5EGKodwo Annan
kannan@ggc.edu
MATH 1401 8AGWilltresca Heppard-Streeter
wheppard@asurams.edu
MATH 1401 8BGTheresa Butori
theresa.butori@ung.edu
MATH 1401 8CGLawrence Ssebaggala
lssebaggala@daltonstate.edu
MATH 1401 8DGCarol Love
carol.love@ung.edu
MATH 1401 8EGBhavana Burell
burellb@fvsu.edu
MATH 1401 8FGSonal Patel
spatel@westga.edu
3

Credit Hours


Prerequisites

  • See your home institution's prerequisite requirement.

Free Textbook

  • Open educational resources (OER)

Course Equivalency

After completing this course, you will be able to:

  • Identify and apply appropriate methods of data collection.
  • Effectively communicate quantitative concepts and results.
  • Use graphical and numeric techniques to describe data.
  • Develop an understanding of the concept of probability and the relationship of probability and statistics.
  • Develop an understanding of the various probability distributions.
  • Use the appropriate method for estimating values of population parameters.
  • Use the appropriate method to test population parameters.
  • Use appropriate technology to determine whether a linear relationship exists between two variables.
  • Extract quantitative data from a given situation, translate the data, evaluate information, abstract essential information, make logical deductions, and arrive at reasonable conclusions.
  • Lesson 1: Getting Started
  • Lesson 2: Organizing Data
  • Lesson 3: Averages and Variation
  • Lesson 4: Elementary Probability Theory
  • Lesson 5: Binomial Probability Distribution and Related Topics
  • Lesson 6: Normal Curves and Sampling Distributions
  • Lesson 7: Estimation
  • Lesson 8: Hypothesis Testing
  • Lesson 9: Correlation and Regression

Your final grade will be based on the following breakdown. Please note that each instructor may choose to make modifications.

  • Attendance Verification - 1%
  • Discussions - 5%
  • Mindset Learning Project - 4%
  • Quizzes - 30%
  • Homework - 30%
  • Proctored Midterm Exam - 15%
  • Final Exam - 15%

TI-83 Plus or TI-84 Plus Graphing Calculator

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