Course

Credit Type:
Course
ACE ID:
OOSL-0011
Version:
6
Organization's ID:
MAT150
Organization:
StraighterLine
Location:
Online
Length:
14 week (75 hour)
Minimum Passing Score:
70
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Business Statistics
Description

Objective:

The course objective is to introduce students to fundamental concepts in business statistics, covering both the scope and limitations of statistical analysis. Students learn to analyze sample data, compute and interpret measures of central tendency and variability, and apply descriptive statistical methods. The course includes linear and multiple regression, as well as correlation analysis. Following an introduction to probability, students work with discrete and continuous probability distributions. Key inferential topics include confidence intervals, hypothesis testing for one and two samples, and analysis of variance (ANOVA) in both one-way and two-way designs. Nonparametric methods are briefly covered, focusing on chi-square tests for categorical data.

Learning Outcomes:

  • Define statistics and identify its scope and limitations.
  • Describe and apply the basic concepts in statistics
  • Apply sampling methods and the Central Limit Theorem to perform statistical analyses of samples and predict population behavior
  • Compute and interpret measures of location and dispersion
  • Represent statistical data in different forms and interpret various representations
  • Perform linear regression and correlation analysis
  • Perform multiple regression and correlation analysis
  • Describe the basic concepts of probability
  • Describe and apply discrete and continuous probability distributions
  • Conduct hypothesis tests based on one or two samples
  • Perform one-way and two-way analyses of variance (ANOVA)
  • Apply nonparametric methods of statistical analysis

General Topics:

  • Checkpoint 1: Statistics: An Introduction and Basic Concepts Checkpoint 2: Descriptive Statistics: Numerical Measures Checkpoint 3: Descriptive Statistics: Graphical Representations Checkpoint 4: Probability Checkpoint 5: Discrete and Continuous Probability Distributions Checkpoint 6: Sampling, Sampling Methods, and Central Limit Theorem Checkpoint 7: Confidence Intervals Checkpoint 8: Tests of Hypothesis Checkpoint 9: Analysis of Variance Checkpoint 10: Correlation and Linear Regression Checkpoint 11: Multiple Regression Analysis Checkpoint 12: Nonparametric Methods: Nominal-Level Hypothesis Tests
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Computer Based Training
  • Practical Exercises

Methods of Assessment:

  • Examinations
  • Quizzes
Supplemental Materials
Equivalencies

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