相关实验视频

Updated: Jan 24, 2026

Forced Salivation As a Method to Analyze Vector Competence of Mosquitoes
05:03

Forced Salivation As a Method to Analyze Vector Competence of Mosquitoes

Published on: August 7, 2018

10.2K

从战场到床边:通过修改的Delphi方法优先考虑军事医生助理的程序技能和能力期望

Robyn L Chalupa1, Lenard W Tol2, Ryan A McMahon2

  • 1US Army Medical Center of Excellence, Fort Sam Houston, TX 78234, United States.

Military medicine
|May 28, 2025
PubMed
概括

经过奖学金培训的医生助理 (PA) 预计将掌握18种用于驻军和部署环境的外科技能. 外科医生的期望与医学研究生教育认证委员会的里程碑一致,以获得最佳的患者护理.

更多相关视频

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.1K
Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind09:01

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

14.9K

相关概念视频

Expected Value01:15

Expected Value

The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
7.4K
Determination of Expected Frequency01:08

Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.6K
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
7.2K
Blind Procedures02:07

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
13.4K
Factors Influencing Attraction V: Social Skills01:29

Factors Influencing Attraction V: Social Skills

Social skills play a crucial role in shaping interpersonal interactions and enhancing individuals' ability to navigate various social environments successfully. These skills contribute to personal and professional success, influencing how others perceive and treat individuals. High social skills provide distinct advantages in numerous settings, including romantic relationships, politics, and legal proceedings. In courtroom settings, for instance, defendants who exhibit strong social skills are...
746
Modified Boxplots00:57

Modified Boxplots

A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
10.8K