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Sample Means - Exploring Sampling Variability
Unrestricted Use
Public Domain
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Students will explore sampling variability in the sample means of different random samples of a population, using data on Internet access from the U.S. Census Bureau’s American Community Survey.

Subject:
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Provider:
U.S. Census Bureau
Provider Set:
Statistics in Schools
Date Added:
10/15/2019
Sampling strategies
Only Sharing Permitted
CC BY-NC-ND
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The information gained through the study of disease in populations which will be increased if more members of the population are sampled. However, the sampling of every individual in a population is rarely feasible from either a logistical or an economic perspective (except in the case of very small-scale studies). Censuses are a form of descriptive study which aims to systematically collect information about every member of the population of interest (the source population), and are carried out in many countries for both livestock as well as for humans (although information regarding disease may not be collected). Statistical surveys are another type of descriptive study, which aim to select a sample (known as the study sample) from the source population, with the intention of extrapolating the information about these individuals to the source population. Similarly, in most analytic studies, a sample of the population must be selected for the same reasons.

Subject:
Life Science
Material Type:
Diagram/Illustration
Reading
Provider:
WikiVet
Provider Set:
Veterinary Epidemiology
Date Added:
02/27/2015
Signal Processing: Continuous and Discrete
Conditional Remix & Share Permitted
CC BY-NC-SA
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This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics covered include spectral analysis, filter design, system identification, and simulation in continuous and discrete-time domains. The emphasis is on practical problems with laboratory exercises.

Subject:
Applied Science
Career and Technical Education
Electronic Technology
Engineering
Mathematics
Material Type:
Full Course
Provider Set:
MIT OpenCourseWare
Author:
Rowell, Derek
Date Added:
09/01/2008
Statistical Thinking for the 21st Century
Conditional Remix & Share Permitted
CC BY-NC
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Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Author:
Russel A. Poldrack
Date Added:
12/03/2019
Statistics
Unrestricted Use
CC BY
Rating
0.0 stars

A general statistics course, which includes understanding data, measures of central tendency, measures of variation, binomial distributions, normal distributions, correlation and regression, probability and sampling distributions, Central Limit Theorem, confidence intervals, estimates of population parameters and hypothesis testing. Interpretation and data analysis are emphasized.

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
Middlesex Community College
Author:
Sanford Arbogast
Date Added:
05/13/2019
Statistics Project: Sampling, Standard Deviation & Z-Scores
Conditional Remix & Share Permitted
CC BY-NC-SA
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In this statistics project, students will begin by sampling a population to answer their own designed question.  They will then use their sample to graph, find the mean and standard deviation, and illustrate their understanding of normal distribution.  They will then manipulate their data to make it "normal" and, after finding new samples, analyze the associated z-score and percents of that new data.

Subject:
Statistics and Probability
Material Type:
Lesson Plan
Author:
Melissa Hesterman
Date Added:
12/07/2017
A self-preserving, partially biodegradable eDNA filter
Unrestricted Use
CC BY
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This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"EnvironmentalDNA capture is helping researchers do the seemingly impossible: track the numerous plants and animals that call natural waters home. But fishing for so-called eDNA can be precarious work. Each step of the process, from water sampling to DNA detection, is a point of entry for contaminants or of loss for sample material. Now, a new standard could be in the making. Self-preserving and partially biodegradable, this new filtration system eliminates data-compromising steps from eDNA capture while ensuring long-term sample preservation and generating less plastic waste. In standard eDNA collection, a motorized or hand-powered pump is used to force a water sample through a DNA-capturing membrane. The filter housing is then opened and, using sterilized forceps, the membrane is carefully transferred to a vial. Finally, ethanol is added to preserve the captured eDNA while its transported to a lab for sequencing or PCR detection..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Subject:
Genetics
Life Science
Material Type:
Diagram/Illustration
Reading
Provider Set:
Video Bytes
Date Added:
09/23/2019