Basic Laboratory Statistics
Description:
This course provides an introduction to basic statistical concepts and techniques used for the collection, organization, analysis, and presentation of various types of data. The course touches on both descriptive statistics and inferential statistics, including how to compute measures of central tendency and dispersion, and how to assess the relationship between two variables. Additional topics include graphical representation of data, least squares regression and correlation, calculating probabilities and evaluating probability and sampling distributions, hypothesis testing, confidence intervals and statistical inference, and drawing conclusions about the underlying population. Practical application of these statistical concepts and techniques to various requirements in ISO/IEC 17025 and ISO/IEC 17020 will be demonstrated.
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Instructor: Patrick Selig - ANAB
Biography: Patrick Selig holds a bachelor’s and Master of Science in Biology from Purdue University. While at Purdue, he managed a university laboratory working with professors performing primary research on plant/insect/pathogens. Patrick has experience with various testing technologies and techniques including DNA/RNA extractions, qPCR, RT-PCR, cDNA synthesis, Southern/Northern Blots, confocal microscopy, cloning and transformations, primer design and grant writing. He is also trained in medical clean room processes and IV Chemotherapy drug preparation. Prior to joining ANAB, Patrick worked for F&V Operations supporting the City of Huntington, IN and Roanoke, IN with responsibilities for environmental water quality reporting to the health departments. He is currently employed by ANAB as an Accreditation Manager reporting out of the Ft Wayne, Indiana office.
Course Outline:
What is statistics?
Population vs sample
Sampling
Random variables and data
Descriptive statistics
Measures of relative standing
Displaying data
Student t-distribution
Confidence intervals
Outliers
Learning Objectives:
Understand the concepts of population, samples, sampling methods, and bias type and direction
Understand probability distributions and sample data distributions
Understand and be able to calculate confidence intervals
Understand and be able to perform hypothesis testing
Be able to graphically represent and interpret data
Be able to use linear regression to create a least-squares line and to calculate the correlation between two numerical variables in a data set
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Basic Laboratory Statistics
Patrick Selig - ANAB
Basic Laboratory Statistics
Description
Session Number: SC283
Session Type: Short Courses
Session Date: Wednesday 3/22/2023
Session Time: 8:30 AM - 12:30 PM
Room Number: Short Course Office 108B
Track: Professional Skills Building
Category: Data Analysis/Statistics, Quality/QA/QC
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