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Elementary Statistics – MATH 1401

Description

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

Name Office Phone Email
Dawit Aberra Fort Valley State University
478-825-6199aberrad@fvsu.edu
Abdelkader Agoun University of West Georgia
678-839-4141aagoun@westga.edu
Sandra Anderson Georgia Highlands College
678-872-8101sanderso@highlands.edu
Sanjeev Arora Fort Valley State University
478-825-6981Aroras@fvsu.edu
Kyle Carter University of West Georgia
770-826-3470kylec@westga.edu
Janis Carthon Albany State University
229-430-4158janis.carthon@asurams.edu
Samuel Cartwright Fort Valley State University
cartwris@fvsu.edu
Shadreck Chitsonga Fort Valley State University
478-825-6999chitsongas@fvsu.edu
Gyuheui Choi ATLM
gchoi@atlm.edu
David Cook Kennesaw State University
706-968-2641dcook47@kennesaw.edu
Anilkumar Devarapu Albany State University
229-430-4888anilkumar.devarapu@asurams.edu
Vitaliy Goncharenko University of West Georgia
vgonchar@westga.edu
Thomas Gonzalez Dalton State College
706-272-2488tgonzalez@daltonstate.edu
Tamara Gray Middle Georgia State College
tamara.gray@mga.edu
Mark Henderson Clayton State University
770-845-0528chenderson5@mail.clayton.edu
Luba Ibrahim Georgia Highlands College
678-872-8544librahim@highlands.edu
Jing Kersey East Georgia State College
jkersey@ega.edu
Richard Kilburn Middle Georgia State University
478-929-6701richard.kilburn@mga.edu
Sujin Kim Savannah State University
912-358-4302kims@savannahstate.edu
Gregory Knofczynski Georgia Southern University
912-344-2716 gknofczynski@georgiasouthern.edu
Joshua Lambert Georgia Southern University
912-344-3127joshualambert@georgiasouthern.edu
Carol Love University of North Georgia
carol.love@ung.edu
Laureen Lowman Middle Georgia State College
laureen.lowman@mga.edu
Kecia May University of West Georgia
678-723-8098kmay@westga.edu
Monisola McGlone Kennesaw State University
mmcglon2@kennesaw.edu
Barry Monk Middle Georgia State University
478-471-2887barry.monk@mga.edu
Gary Nelson Georgia Gwinnett College
678-691-7458gnelson@ggc.edu
Chinenye Ofodile Albany State University
229-430-2946chinenye.ofodile@asurams.edu
Camille Pace Georgia Highlands College
678-872-8127cpace@highlands.edu
Sonal Patel University of West Georgia
678-839-4123spatel@westga.edu
Rhonda Porter Albany State University
229-430-4722rhonda.porter@asurams.edu
Kishore Pradhan South Georgia State College
kishore.pradhan@sgsc.edu
Blanche Presley Middle Georgia State University
478-475-8619blanche.presley@mga.edu
Laura Ralston Georgia Highlands College
lralston@highlands.edu
Bhukan Rathore Georgia Highlands College
678-946-1025brathore@highlands.edu
Robert Staples University of West Georgia
678-839-4139rstaples@westga.edu
Latriece Tanksley Savannah State University
912-358-3296tanksleyl@savannahstate.edu
Michael Tiemeyer Georgia Southern University
912-344-2929mtiemeyer@georgiasouthern.edu
Taylor Wars Albany State University
229-317-6883taylor.wars@asurams.edu
Karen Watson Fort Valley State University
478-953-7693watsonk@fvsu.edu
Stanley Williams Georgia Highlands College
678-872-8099swilliam@highlands.edu
Mohammad Yazdani University of West Georgia
678-839-4132myazdani@westga.edu
Jianmin Zhu Fort Valley State University
478-827-3067zhuj@fvsu.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.
  • Unit 01 - Sampling and Descriptive Statistics
    • Lesson 01 - Sampling and Types of Data
    • Lesson 02 - Graphical Summaries for Qualitative Data
    • Lesson 03 - Frequency Distributions and their Graphs
    • Lesson 04 - Measures of Center
    • Lesson 05 - Measures of Spread
    • Lesson 06 - Measures of Position
  • Unit 02 - Probability and Random Variables
    • Lesson 07 - Basic Ideas in Probability
    • Lesson 08 - The Addition Rule and The Rule of Complements
    • Lesson 09 - Conditional Probability and The Multiplication Rule
    • Lesson 10 - Random Variables
    • Lesson 11 - The Binomial Distribution
    • Lesson 12 - The Standard Normal Curve
    • Lesson 13 - Applications of The Normal Distribution
  • Unit 03 - The Central Limit Theorem and Confidence Intervals
    • Lesson 14 - Sampling Distributions and The Central Limit Theorem
    • Lesson 15 - The Central Limit Theorem for Proportions
    • Lesson 16 - Confidence Intervals for a Population Mean, Standard Deviation Known
    • Lesson 17 - Confidence Intervals for a Population Mean, Standard Deviation Unknown
    • Lesson 18 - Confidence Interval for a Population Proportion
  • Unit 04 - Hypothesis Testing and Summarizing Bivariate Data
    • Lesson 19 - Basic Principles of Hypothesis Testing
    • Lesson 20 - Hypothesis Tests for a Population Mean, Standard Deviation Known
    • Lesson 21 - Hypothesis Tests for a Population Mean, Standard Deviation Unknown
    • Lesson 22 - Hypothesis Tests for Proportions
    • Lesson 23 - Correlation and The Least-Squares Regression Line

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

  • Quizzes - 10%
  • Online Exams - 45%
  • Discussion and Participation - 5%
  • * Midterm - 20%
  • * Final - 20%

TI-83 Plus or TI-84 Plus Graphing Calculator

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