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相关概念视频

Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

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In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
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Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

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The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
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Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

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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...
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Regression Toward the Mean01:52

Regression Toward the Mean

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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相关实验视频

Updated: Jun 30, 2025

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
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Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

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学校公共汽车折扣计划和学生教育绩效测试成绩

Meredith Pedde1, Adam Szpiro2, Richard A Hirth3

  • 1Department of Epidemiology, University of Michigan, Ann Arbor, Michigan.

JAMA network open
|March 20, 2024
PubMed
概括

将旧校车换成新校车并没有改善学生的考试成绩. 然而,更换最古老的公共汽车 (1990年以前) 与学生阅读,语言艺术和数学成绩的提高有关.

科学领域:

  • 环境健康 环境健康
  • 教育政策的教育政策.
  • 公共卫生 公共卫生

背景情况:

  • 旧的校车排放的排放量很高,可能会损害学生的健康和出勤率.
  • 美国环境保护局 (EPA) 提供资金,以更清洁的替代品取代污染的公共汽车.

研究的目的:

  • 评估EPA资助学校巴士更换对学生学业成绩的影响.
  • 为了确定更换旧的,更污染的公共汽车是否与地区平均考试成绩的变化有关.

主要方法:

  • 使用了2012-2016年学校公交车折扣计划的EPA资金随机分配.
  • 在筹资彩票之前和之后,检查了阅读和语言艺术 (RLA) 和数学测试成绩的变化.
  • 应用了治疗意图的方法来分析1941年学区申请人的数据.

主要成果:

  • 总体而言,EPA为替换公共汽车提供资金并没有改善学区平均学生考试成绩.
  • 地区取代了最古老,污染最严重的公共汽车 (1990年以前) 在RLA和数学成绩上显著改善.
  • 测试成绩的改善在抽奖之后的一年被观察到,这些地区取代了1990年以前的公共汽车.

结论:

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  • 单单是EPA资助与学生的整体测试成绩改善没有关联.
  • 优先更换最古老,污染最严重的校车可以积极影响教育成绩.
  • 有针对性的清洁公共汽车更换是提高学生学业成绩的可行的策略.