Course

Course Summary
Credit Type:
Course
ACE ID:
NNCS-0673
Organization's ID:
MATH2115
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

• Examinations

Minimum Passing Score:

70%
Supplemental Materials