Course Summary
Credit Type:
ACE Course Number:
12 weeks (13 hours a week of inside and outside class time).
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 statistics


The objective of this course is to provide a comprehensive overview of core concepts in Statistics. Emphasis is placed on the foundations of statistics; probability; correlation and regression; sampling distributions; and inferential statistics.

Learning Outcomes:

  • describe data types and levels of measurement including sample vs. population, and distribution
  • understand random sampling, and the importance of randomness
  • describe the distribution of a numeric variable by its center and spread
  • represent numeric variable distributions graphically by dot plot, stem-and-leaf plot, box-and-whisker plot, and histogram
  • discuss the center and spread of the distribution of a numeric variable
  • define the normal distribution of a variable and calculate normal probabilities
  • construct and analyze a scatter plot for a set of bivariate data
  • calculate the regression model for a set of bivariate data and use it to make predictions
  • calculate the probability of simple and compound events
  • use a variety of probability distributions to calculate the probability of an event
  • construct one and two sample confidence intervals for population means or proportions
  • conduct one and two sample hypothesis tests for population means or proportions
  • understand errors in hypothesis testing and their causes
  • conduct Chi-square tests for uniformity of univariate data or independence of two categorical variables
  • compare multiple population means using an ANOVA test; analyze a randomized block experiment with an F-test

General Course Topics:

  • Collecting and interpreting data
  • Numerical methods for describing data
  • Normal distributions
  • Bivariate data
  • Linear regression
  • Non-linear bivariate data
  • Probability
  • Probability distributions
  • Sampling distributions
  • Inferential statistics using a single sample
  • Inferential statistics with multiple samples
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Discussion
  • Lectures

Methods of Assessment:

  • Other
  • Quizzes
  • Written Papers
  • Discussion Boards

Minimum Passing Score:

Supplemental Materials

Other offerings from Distance Learning Systems Indiana, Inc