Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ratio Level of Measurement00:54

Ratio Level of Measurement

21.6K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
21.6K
Arrhenius Plots02:34

Arrhenius Plots

47.4K
The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can be used...
47.4K
Residual Plots01:07

Residual Plots

6.5K
A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
6.5K
Microsoft Excel: Plotting Mean, SD, and SE01:18

Microsoft Excel: Plotting Mean, SD, and SE

1.3K
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...
1.3K
Bode Plots01:26

Bode Plots

1.3K
Bode plots are graphical tools that use logarithmic scales for frequency on the x-axis and gain in decibels on the y-axis. This logarithmic method allows a wide range of frequencies to be compactly displayed, enabling the analysis of component effects on circuit behavior across a broad frequency spectrum.
A network function represents the ratio of a system's output to its input, with the magnitude and phase angle derived from the complex network function. The decibel logarithmic gain is...
1.3K
Scatter Plot01:15

Scatter Plot

12.1K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
12.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Lipoprotein(a) lipidome and chronic kidney disease: Enrichment in triacylglycerols and diacylglycerols.

Journal of clinical lipidology·2026
Same author

Authors' Response to Comments by Di Tanna et al.

Statistics in medicine·2026
Same author

Lipoprotein(a) lipidome and diet: responses to reducing saturated fat intake in African Americans in a randomized trial.

Journal of lipid research·2026
Same author

Prevalence of undiagnosed hypertension and risk assessment using a validated survey in community-based screening in Amman, Jordan.

PloS one·2026
Same author

Meta-Analysis of Cost-Effectiveness.

Statistics in medicine·2026
Same author

Dietary and Physical Activity Habits of Potential Living Kidney Donors.

Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation·2026
Same journal

Aortic Valve Replacement in Women of Reproductive Age.

Journal of the American College of Cardiology·2026
Same journal

Sudden Death in Cardio-Kidney-Metabolic Patients: Insights From FINE-HEART.

Journal of the American College of Cardiology·2026
Same journal

Ultra-Thin Sirolimus-Eluting Versus Everolimus-Eluting Stents in Diabetic Multivessel Coronary Artery Disease Patients: The TUXEDO-2 Trial.

Journal of the American College of Cardiology·2026
Same journal

Reframing Cardiometabolic Risk and Frailty Through Sarcopenic Obesity.

Journal of the American College of Cardiology·2026
Same journal

Imaging-Derived Sarcopenic Obesity and Cardiovascular Outcomes: Insights Into Heart Failure Risk and Muscle Biology.

Journal of the American College of Cardiology·2026
Same journal

The Measure of a Leader: Lessons in Leadership From Eugene Braunwald.

Journal of the American College of Cardiology·2026
See all related articles

Related Experiment Video

Updated: Feb 14, 2026

Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.5K

Graphing Ratio Measures on Forest Plot

Jeehyoung Kim, Jay S Kaufman, Heejung Bang

    Journal of the American College of Cardiology
    |February 7, 2018
    PubMed
    Summary

    No abstract available in PubMed .

    More Related Videos

    Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
    09:16

    Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

    Published on: November 25, 2016

    17.4K
    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
    08:16

    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

    Published on: October 24, 2025

    648

    Related Experiment Videos

    Last Updated: Feb 14, 2026

    Simulating Impacts of Ice Storms on Forest Ecosystems
    06:27

    Simulating Impacts of Ice Storms on Forest Ecosystems

    Published on: June 30, 2020

    7.5K
    Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
    09:16

    Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

    Published on: November 25, 2016

    17.4K
    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
    08:16

    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

    Published on: October 24, 2025

    648