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About the Class

General Description

The course is oriented toward learning to handle data – from collection to description to formal inference. The SAS/Windows package will be used for class illustration, but any high-quality PC statistics package (e.g. SPSS, Statistica, Systat) will suffice.

The course is solid training in basic statistical methods and a firm foundation for further graduate work in statistics.

Topics:

  • Overview of Statistics
  • Descriptive Statistics for Univariate Data
  • Descriptive Statistics for Bivariate Data
  • Probability Pre-requites for Inference
  • Introduce Statistical Inference
  • Inference for Normally Distributed Data
  • Experimental Design

Requirements

Computing Options

The instructor has SAS and shows several examples as we go through the material. Since this course is online, you can use any software you want. The two projects will be required to compute (e.g. SPSS, SAS, etc).

Grading

  • Homework 25%
  • Probability Test  10%
  • Projects (2) 35%
  • Final Exam 30%

Teacher

Doyle Hawkins

Statistician
Dr. D.L. Hawkins   Ph.D. in Biostatistics University of North Carolina-Chapel Hill   Dr. Hawkins retired in 2016 after teaching  both undergraduate and graduate students for 32 years at the University of Texas at Arlington.   As an Associate Professor, he frequently consulted with students from many fields outside the Mathematics department,...

Schedule

No scheduled events are available for booking.
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Additional Details

Language: English
Level: All levels
Skills: Statistical Methods, Statistics Software, Bivariate Data, Call Statistician, Experimental Design, Dichotomous Data, Statistical Inference
Age groups: All ages

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