Related Experiment Video

Updated: Feb 1, 2026

Guidelines for Elective Pediatric Fiberoptic Intubation
11:19

Guidelines for Elective Pediatric Fiberoptic Intubation

Published on: January 17, 2011

18.5K

Moving Toward Excellence in Pediatric Physical Therapy Education: A Scoping Review

Deborah K Anderson1, Jennifer A Furze, James G Moore

  • 1Physical Therapy Program (Dr Anderson), Midwestern University, Downers Grove, Illinois; Creighton University (Dr Furze), Omaha, Nebraska; University of Miami (Dr Moore), Coral Cables, Florida.

Pediatric Physical Therapy : the Official Publication of the Section on Pediatrics of the American Physical Therapy Association
|December 4, 2018
PubMed
Abstract

More Related Videos

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure15:18

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure

Published on: July 30, 2009

18.7K
Clear Resin Casting of Arthropods for Use in Education, Outreach, and Research07:05

Clear Resin Casting of Arthropods for Use in Education, Outreach, and Research

Published on: January 16, 2026

513

Related Concept Videos

The Scope of Physics01:17

The Scope of Physics

Physics is concerned with the interactions of energy, matter, space, and time, in order to discover the underlying mechanisms that underpin all phenomena. The word "physics" comes from the Greek word "phúsis", which means nature. Physics seeks to comprehend the natural world around us at its most fundamental level. It emphasizes the use of quantitative laws to do this, which could be valuable in other fields that want to push the performance boundaries of present...
53.3K
Microsoft Excel: Plotting Mean, SD, and SE01:18

Microsoft Excel: Plotting Mean, SD, and SE

In Microsoft Excel, plotting the mean along with standard deviation (SD) and standard error (SE) helps visualize data variability and reliability. To plot these values, follow these steps:
First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.
To plot these values, use a bar...
1.2K
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.6K
Microsoft Excel: Pearson's Correlation01:18

Microsoft Excel: Pearson's Correlation

Microsoft Excel is a powerful tool for statistical analysis, including calculating Pearson's correlation coefficient, which measures the strength and direction of a linear relationship between two continuous variables. Pearson's correlation coefficient, often denoted as "r," ranges from -1 to 1. A value close to 1 indicates a strong positive correlation, meaning as one variable increases, the other does too. A value close to -1 indicates a strong negative correlation, implying...
2.1K