Related Experiment Video

Updated: Aug 14, 2026

Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing
08:12

Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing

Published on: March 13, 2013

Evaluation of whiteness formulas for FWA and non-FWA whites

Minchen Wei, Shining Ma, Yuzhao Wang

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |April 5, 2017
    PubMed

    More Related Videos

    The Infiltration-centrifugation Technique for Extraction of Apoplastic Fluid from Plant Leaves Using Phaseolus vulgaris as an Example10:26

    The Infiltration-centrifugation Technique for Extraction of Apoplastic Fluid from Plant Leaves Using Phaseolus vulgaris as an Example

    Published on: December 19, 2014

    Evaluating the Effects of Different Polishing Methods on Color Stability of Dental Restorations in Pediatric Dentistry03:37

    Evaluating the Effects of Different Polishing Methods on Color Stability of Dental Restorations in Pediatric Dentistry

    Published on: June 6, 2025

    Related Concept Videos

    F Distribution01:19

    F Distribution

    The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
    One-Way ANOVA01:18

    One-Way ANOVA

    One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data is categorized by one factor - the company. However, one-way ANOVA cannot be used to simultaneously compare the sample mean of three or more samples categorized by two factors. An example of two factors would be sports bikes from different companies driven in different terrains, such as a desert or snowy landscape. Here, two-way ANOVA is used...
    One-Way ANOVA: Equal Sample Sizes01:15

    One-Way ANOVA: Equal Sample Sizes

    One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
    Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
    One-Way ANOVA: Unequal Sample Sizes01:15

    One-Way ANOVA: Unequal Sample Sizes

    One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
    Identifying Statistically Significant Differences: The F-Test01:14

    Identifying Statistically Significant Differences: The F-Test

    The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
    Kendall's Coefficient of Concordance01:20

    Kendall's Coefficient of Concordance

    Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects or...