Related Experiment Video

Updated: May 26, 2025

Assessing Agrochemical Risk to Mated Honey Bee Queens
08:49

Assessing Agrochemical Risk to Mated Honey Bee Queens

Published on: March 3, 2021

2.7K

Commodity risk assessment of Taxus baccata plants from the UK

, Antonio Vicent Civera, Paula Baptista

    EFSA Journal. European Food Safety Authority
    |February 25, 2025
    PubMed

    Keywords:
    European Unioncommodity risk assessmentplant healthplant pestyew

    More Related Videos

    An R-Based Landscape Validation of a Competing Risk Model05:37

    An R-Based Landscape Validation of a Competing Risk Model

    Published on: September 16, 2022

    2.0K
    Measuring Delay Discounting in Humans Using an Adjusting Amount Task07:47

    Measuring Delay Discounting in Humans Using an Adjusting Amount Task

    Published on: January 9, 2016

    15.3K

    Related Concept Videos

    Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

    Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

    Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
    Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
    111
    Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

    Design Example: Analyzing Capacity Contours for Flood Risk Assessment

    Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
    36
    Uncertainty: Overview00:59

    Uncertainty: Overview

    In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
    498
    Hazard Rate01:11

    Hazard Rate

    The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
    83
    Decision Making: P-value Method01:09

    Decision Making: P-value Method

    The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
    First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
    5.2K
    Range Rule of Thumb to Interpret Standard Deviation01:13

    Range Rule of Thumb to Interpret Standard Deviation

    The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
    For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
    8.9K