Mar 14, 2026  
2026-2027 Undergraduate Academic Catalog 
    
Catalog Navigation
  Catalog Home
  Academic Calendar
  University Overview
  Admissions
  Student Financial Services
  Academic Regulations and Policies
  Degree Programs, Minors, and Certificates
  Degrees, Minors, and Certificates by Department
  Course Descriptions
  The Raider Core
  Applied AI Integration
  Explorer Pathways
  MSOE Honors Program
  Global Opportunities
  Reserve Officers’ Training Corps. (ROTC)
  Administration, Regents, and Advisory Committees
  Departments and Faculty
  Campus Map
  Student Resources
  My Portfolio
HELP
2026-2027 Undergraduate Academic Catalog
Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)

MTH 1410 - Elementary Statistics

3 lecture hours 0 lab hours 3 credits
Course Description
This course provides an introduction to the laws of probability and statistical analyses. Both descriptive and inferential statistics are considered. Laws of probability, Bayes’ theorem, probability distributions, the central limit theorem, confidence intervals, hypothesis testing, and linear regression are considered. Statistical software may be used.  
Prereq: None
Note: This course is not intended for regular offering at MSOE. Only one of MTH 1410, MTH 2410 , MTH 2430 , MTH 2450 , MTH 2480 , and IND 2030  can be used to meet a degree requirement unless approved by the program director.  
This course meets the following Raider Core CLO Requirement: None
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Summarize data numerically and graphically
  • Apply rules of probability to calculate the probabilities of events
  • Calculate expectation and variance of probability distributions
  • Apply the Geometric, Binomial, Poisson, and Normal distributions to calculate the probabilities of events
  • Construct appropriate confidence intervals for population mean and proportion 
  • Perform hypothesis tests concerning the means and proportions of one or two populations
  • Construct a linear regression model
Prerequisites by Topic
  • None
Course Topics
  • Qualitative and categorical variables
  • Mean, median, mode, variance, and standard deviation
  • Addition and multiplication rule
  • Probability distributions
  • Confidence interval for one mean and one proportion
  • Hypothesis testing for one mean and one proportion
  • Statistical inference for two or more populations
  • Correlation and linear regression
Coordinator
Dr. Won Chul Song


Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)