Course

Course Summary
Credit Type:
Course
ACE ID:
GRAD-0023
Organization's ID:
S1 - 131222175; S2 - 131222206
Organization:
Graduation Alliance
Location:
Online
Length:
4 weeks (120 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Statistical Methods in Mathematics
Description

Objective:

In this course, students will learn about basic concepts of probability and statistics. In addition, students will obtain knowledge about how probability and statistics work together. This course will begin with probability and various distributions working with random variables and events. The course will continue the statistical study that describes methods of collecting, summarizing and interpreting data. The course will explain both descriptive and inference statistics. Once the course is completed, students will be able to use everyday data. The students will learn to interpret and conclude information that is displayed in various mediums. Lastly, the students will recognize various characteristics of data and a number of ways that the data is related.

Learning Outcomes:

  • Define and interpret statistical representations leading to the capability of processing the data to determine credibility.
  • Translate all types of graphical representations with the ability to explain the meaning presented by the graphs.
  • Apply mathematical formulas to statistical studies, surveys and experiments in order to design and conduct their own analysis.
  • Use and Apply various statistical distributions in order to calculate and demonstrate statistical inferences.
  • Use basic and advanced probabilistic knowledge to establish and interpret everyday life situations that utilize probability and statistics.
  • Create and explain statistical representations such as simulations, counting techniques and density functions.
  • Calculate center measurements, variations and random sampling and interpret their numerical meanings.
  • Create and interpret hypotheses as well as testing hypotheses using various testing techniques.
  • Calculate and translate information dealing with correlation using linear and nonlinear regression models.
  • Select best fit equations using statistical data, contingency tables and analysis of variance.

General Topics:

  • Probability definitions, data types and arithmetic operations
  • Probability using simulations and density functions
  • Statistical terminology, concepts and sample data
  • Graphical interpretations using statistical frequency distributions
  • Statistical center of measurements, variations, experiments and sampling sizes
  • Statistical distributions
  • Statistical populations, samples, estimated errors and major theorems
  • Hypotheses generation, testing and quantile plots
  • Methods for correlation and regression
  • Best fit analysis
Instruction & Assessment

Instructional Strategies:

  • Case Studies
  • Computer Based Training
  • Discussion
  • Learner Presentations
  • Practical Exercises

Methods of Assessment:

  • Other
  • Performance Rubrics (Checklists)
  • Presentations
  • Quizzes
  • Written Papers
  • Facilitated Discussions

Minimum Passing Score:

70%
Supplemental Materials

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