Related Experiment Video

Updated: Jan 23, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.7K

Correction: Estimating duration-distance relations in cycle commuting in the general population

Peter Schantz, Lina Wahlgren, Jane Salier Eriksson

    Plos One
    |June 6, 2019
    PubMed
    Summary

    This study corrects a previous article DOI. The correction ensures accurate citation and retrieval of scientific research for better data integrity.

    More Related Videos

    Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands09:04

    Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

    Published on: August 29, 2019

    14.1K
    Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management05:35

    Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

    Published on: January 19, 2024

    1.3K

    Related Concept Videos

    Distance Corrections01:15

    Distance Corrections

    To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
    285
    Estimating Population Standard Deviation01:26

    Estimating Population Standard Deviation

    When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
    3.3K
    Estimating Population Mean with Known Standard Deviation01:16

    Estimating Population Mean with Known Standard Deviation

    To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
    The confidence interval estimate will have the form as follows:
    (point estimate - error bound, point estimate +...
    9.6K
    Confidence Interval for Estimating Population Mean01:25

    Confidence Interval for Estimating Population Mean

    A point estimate of the population mean is obtained from a single sample. Such a point estimate does not represent a population well because it needs to account for variability in the population. Single point estimate can also be biased despite the sample being selected randomly. Thus, a point estimate is often unreliable. A confidence interval is needed to reduce this unreliability.
    A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
    8.8K
    Distributions to Estimate Population Parameter01:26

    Distributions to Estimate Population Parameter

    The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
    5.0K
    Estimating Population Mean with Unknown Standard Deviation01:22

    Estimating Population Mean with Unknown Standard Deviation

    In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
    William S. Gosset (1876–1937) of the...
    8.8K