相关实验视频
Updated: Jun 24, 2025

02:43
Importance of Jumping Ability in Handball Throwing Speed and Accuracy
Published on: April 4, 2025
296
箱子的高度是否重要? 对男人和女人的箱子跳跳表现的箱子高度进行比较分析
Marcel Lopes Dos Santos1, Jocarol Shields2, Ricardo Berton3
1Biomechanics Laboratory, School of Kinesiology and Recreation, Illinois State University, Normal, IL, USA.
International journal of exercise science
|June 12, 2024
概括
休活动的学生的箱子跳跃表现不受最大努力的目标时箱子高度的变化的影响. 教练可以使用不同的箱子高度来教降落技巧,而不会影响跳跃性能.
科学领域:
- 生物力学 生物力学
- 运动生理学 运动生理学
- 运动科学 运动科学 运动科学
背景情况:
- 箱式跳跃是一种常见的压力计练习,用于评估和提高下半身的爆炸力.
- 了解外部因素,如盒子高度如何影响性能,对于有效的培训计划设计至关重要.
- 之前的研究已经 yielded混合的结果关于最佳的盒子高度,以实现最大的性能.
研究的目的:
- 为了研究不同箱子高度在箱子跳跃期间对关键性能指标的影响.
- 确定盒子高度是否影响力生产,功率和跳跃动力学的测量.
- 为力量和空调专业人员提供关于盒子高度选择的实际建议.
主要方法:
- 娱乐活跃的大学生 (14名男性,17名女性) 进行了最大的箱跳跃.
- 跳跃是在五个盒子高度执行的:0%,20%,40%,60%,以及个人最大跳跃高度的80%.
- 测量的性能变量包括峰值力,力量发展速度,峰值力和跳跃高度.
主要成果:
- 在80%的最大盒子高度的女性中,与0% (p = 0.001) 相比,观察到峰值力显著增加.
- 在任何身高的男性中,在性能变量中没有发现其他显著差异.
- 在女性的高度低于80%的最大箱跳高度 (p > 0.05) 时,没有观察到显著差异.
结论:
- 不同的箱子高度不会显著改变休训练的个体的箱子跳跃性能,当最大的努力被应用时.
- 力量和健身教练可以利用各种箱子高度来教降落力学,而不会影响推进性能.
- 这些发现支持使用可适应的训练工具来发展基本的运动技能.
相关概念视频
Variation: Normal Distribution, Range, and Standard Deviation
22.2K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
22.2K
Boxplot
8.1K
Box plots (also called box-and-whisker plots or box-whisker plots) give an excellent graphical image of the concentration of the data. They also show how far the extreme values are from most data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them. To construct a box plot, use a horizontal or vertical number line and a rectangular box. The...
8.1K
One-Way ANOVA: Unequal Sample Sizes
5.7K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
5.7K
Two-Way ANOVA
2.6K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.6K
Modified Boxplots
9.6K
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...
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...
9.6K
One-Way ANOVA: Equal Sample Sizes
3.3K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
3.3K

