Course

Course Summary
Credit Type:
Course
ACE ID:
OOSL-0011
Organization:
Location:
Online
Length:
14 weeks (75 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Business Statistics
Description

Objective:

The course objective is to provide students with a comprehensive overview of the scope and limitations of business statistics.

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 to predict population behavior
  • compute and interpret measures of location and dispersion
  • represent statistical data in different forms and interpret the different representations
  • perform linear regression and correlation analysis
  • perform multiple regression and correlation analysis
  • describe the basic concepts of probability
  • describe and apply the discrete and continuous distributions of probability
  • 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
  • perform model building and model diagnoses

General Topics:

  • Basic statistics concepts
  • Sampling methods
  • Descriptive statistics: numerical measures
  • Descriptive statistics: representational, probability, discrete, and continuous probability distributions
  • Using confidence intervals in the sampling process
  • Tests of hypotheses
  • Regression analysis
  • Multiple regression analysis
  • Analysis of variance
  • Nonparametric methods
  • Process improvement using control charts
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Computer Based Training
  • Practical Exercises

Methods of Assessment:

  • Examinations
  • Quizzes

Minimum Passing Score:

70%
Supplemental Materials

Other offerings from StraighterLine

(OOSL-0009)
(OOSL-0010)
(OOSL-0063)
(OOSL-0109)