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:

"Vitamin D guidelines are currently in a state of paralysis. The problem: the numerous competing ways of measuring levels of 25-hydroxyvitamin D, a slightly modified form of vitamin D in the body. This lack of standardization has produced three conflicting sets of guidelines for defining vitamin D status across the globe, those from the UK, the US, and the Endocrine Society. The guidelines from the UK and US set similar standards, defining vitamin D deficiency as 25-hydroxyvitamin D concentrations less than 10 to 12 nanograms per milliliter. This is the standard typically adopted by government-sponsored committees. Non-governmental organizations, however, tend to adopt the guideline set by the Endocrine Society, which defines deficiency as 25-hydroxyvitamin D concentrations less than 20 nanograms per milliliter. Despite a wealth of data on vitamin D and how to measure it, a worldwide consensus on determining vitamin D status remains elusive..."

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

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:

"Metagenomic analysis frequently plays an important role in development pipelines for human fecal microbiome-related products, but validation and standardization of the methods used to extract DNA and assemble sequence libraries for these studies is currently lacking. To close this gap, researchers recently characterized existing protocols for accuracy and precision. First, they tested the quantification accuracy by using a defined mock community of bacteria. Then, the protocols that performed as expected were evaluated for both within- and inter-laboratory precision metrics. The protocols were also tested against the MOSAIC Standards Challenge samples. Lastly, they defined performance metrics for the recommended protocols to provide best-practice guidance. The uptake of the recommendations generated here should improve reproducibility in human metagenomic research and therefore facilitate development and commercialization of human microbiome-related products..."

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

The purpose of this resource is to quantitatively evaluate the accuracy of a classification system. Students sort birds into three possible classes based on each bird's beak: carnivores, herbivores, and omnivores. Students compare their answers with a given set of validation data.

Accuracy of measurement in navigation depends very much on the situation. If a sailor's target is an island 200 km wide, sailing off center by 10 or 20 km is not a major problem. But, if the island were only 1 km wide, it would be missed if off just the smallest bit. Many of the measurements made while navigating involve angles, and a small error in the angle can translate to a much larger error in position when traveling long distances.

Accuracy of measurement in navigation depends very much on the situation. If a sailor's target is an island 200 km wide, sailing off center by 10 or 20 km is not a major problem. But, if the island were only 1 km wide, it would be missed if off just the smallest bit. Many of the measurements made while navigating involve angles, and a small error in the angle can translate to a much larger error in position when traveling long distances.

In this lesson, students will investigate error. As shown in earlier activities from navigation lessons 1 through 3, without an understanding of how errors can affect your position, you cannot navigate well. Introducing accuracy and precision will develop these concepts further. Also, students will learn how computers can help in navigation. Often, the calculations needed to navigate accurately are time consuming and complex. By using the power of computers to do calculations and repetitive tasks, one can quickly see how changing parameters likes angles and distances and introducing errors will affect their overall result.

After differentiating between precision and accuracy, students will perform a lab that helps them learn which lab equipment is appropriate for measuring liquids.
Students will then calculate absolute error and percent error.

Students learn about catapults, including the science and math concepts behind them, as they prepare for the associated activity in which they design, build and test their own catapults. They learn about force, accuracy, precision and angles.

Students learn about the statistical analysis of measurements and error propagation, reviewing concepts of precision, accuracy and error types. This is done through calculations related to the concept of density. Students work in teams to each measure the dimensions and mass of five identical cubes, compile the measurements into small data sets, calculate statistics including the mean and standard deviation of these measurements, and use the mean values of the measurements to calculate density of the cubes. Then they use this calculated density to determine the mass of a new object made of the same material. This is done by measuring the appropriate dimensions of the new object, calculating its volume, and then calculating its mass using the density value. Next, the mass of the new object is measured by each student group and the standard deviation of the measurements is calculated. Finally, students determine the accuracy of the calculated mass by comparing it to the measured mass, determining whether the difference in the measurements is more or less than the standard deviation.

Students experience the engineering design process as they design and build accurate and precise catapults using common materials. They use their catapults to participate in a game in which they launch Ping-Pong balls to attempt to hit various targets.

The earliest explorers did not have computers or satellites to help them know their exact location. The most accurate tool developed was the sextant to determine latitude and longitude. In this activity, the sextant is introduced and discussed with the class. Students will learn how a sextant can be a reliable tool that is still being used by today's navigators and how computers can help assure accuracy when measuring angles. Also, this activity will show how computers can be used to understand equations even when knowing how to do the math is unknown.

This module is an introduction to Accuracy, Precision, and Sig figs.  It includes how to count the number of significant digits and defining accuracy versus precision.  

To navigate, you must know roughly where you stand relative to your designation, so you can head in the right direction. In locations where landmarks are not available to help navigate (in deserts, on seas), objects in the sky are the only reference points. While celestial objects move fairly predictably, and rough longitude is not too difficult to find, it is not a simple matter to determine latitude and precise positions. In this activity, students investigate the uses and advantages of modern GPS for navigation.

Working as if they are engineers aiming to analyze and then improve data collection devices for precision agriculture, students determine how accurate temperature sensors are by comparing them to each other. Teams record soil temperature data during a class period while making changes to the samples to mimic real-world crop conditions—such as the addition of water and heat and the removal of the heat. Groups analyze their collected data by finding the mean, median, mode, and standard deviation. Then, the class combines all the team data points in order to compare data collected from numerous devices and analyze the accuracy of their recording devices by finding the standard deviation of temperature readings at each minute. By averaging the standard deviations of each minute’s temperature reading, students determine the accuracy of their temperature sensors. Students present their findings and conclusions, including making recommendations for temperature sensor improvements.