Related Experiment Video

Updated: May 10, 2026

Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

Reference interval studies: what is the maximum number of samples recommended?

Robert C Hawkins, Tony Badrick

    Clinical Chemistry and Laboratory Medicine
    |June 27, 2013
    PubMed
    Abstract

    More Related Videos

    Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification09:04

    Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

    Published on: August 17, 2015

    Monochrome Multiplex Quantitative PCR Telomere Length Measurement11:44

    Monochrome Multiplex Quantitative PCR Telomere Length Measurement

    Published on: March 22, 2024

    Related Concept Videos

    Contaminants and Errors01:16

    Contaminants and Errors

    Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
    Another key consideration is determining the appropriate number of samples required to...
    Systematic Sampling Method01:17

    Systematic Sampling Method

    Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
    Systematic sampling is one of the simplest methods...
    Interpretation of Confidence Intervals01:19

    Interpretation of Confidence Intervals

    A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
    Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
    Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
    Sample Size Calculation01:19

    Sample Size Calculation

    Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
    The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
    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 of...
    Confidence Intervals01:21

    Confidence Intervals

    An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
    A confidence...