Course

Course Summary
Credit Type:
Course
ACE ID:
NNCS-0673
Organization's ID:
MATH2115
Organization:
National Cryptologic University
Location:
Classroom-based
Length:
6 days (40 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 introductory statistics
Description

Objective:

The course objective is to introduce the student to basic probability theory, descriptive statistics and inferential statistics

Learning Outcomes:

  • compare statistical data
  • differentiate statistical data
  • compute the probabilities of events
  • analyze statistical data using appropriate probability distributions
  • evaluate statistical data using appropriate probability distributions
  • apply central limit theorem to describe inferences
  • construct confidence intervals to estimate means and standard deviations for populations
  • perform/compare hypothesis testing techniques including single and multi-sample test for means and standard deviations
  • classify statistical data

General Topics:

  • Sampling methods
  • Basic measures
  • Outlier effects
  • Events and sets
  • Graphics representation of data
  • Probability
  • Counting techniques
  • Permutations and combinations
  • Discrete and continuous distributions
  • Discrete and continuous random variables
  • Confidence intervals
  • Hypothesis testing
  • Chi-squared good-of-fit tests
  • Normal tests
  • Linear regression
Instruction & Assessment

Instructional Strategies:

  • Classroom Exercise
  • Computer Based Training
  • Laboratory
  • Lectures
  • Practical Exercises

Methods of Assessment:

  • Examinations

Minimum Passing Score:

70%
Supplemental Materials