Continuous versus discrete data analysis for gait evaluation of horses with induced bilateral hindlimb lameness

This study analyses a series of problems on the volleyball team echelon construction of Shandong Province, through a great number of discrete data analysis, and put formula of Yt ＝ Yt-1+[(Yt-1 —Yt-2)+(Yt-2 — Yt-3)+…+(Yt-n —Yt-(n+l))] ／ n into calculation, so as to get the following conclusions: 1. While the number of excellent volleyball teams decreased rapidly, meanwhile, the number of 2nd-line increased steadily year by year, which showed the trend of reverse growth to 1st-line; 2. The number of 3rd-line increased slowly, not significantly change, which fluctuated on a certain level; 3. The growing speed of the number of 3rd-line was lower than the number of 2nd-line. This study will play a positive influence and promote the sustainable development of volleyball through the study of analysing volleyball team echelon construction of Shandong Province.

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Myth 11: Need More Data for Discrete Data than Continuous Data Analysis

Understanding Statistics and Statistical Myths ◽

10.1201/b19198-12 ◽

2015 ◽

pp. 111-122

Keyword(s):

Data Analysis ◽

Discrete Data ◽

Continuous Data

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Discrete Data Analysis, Failure Time Data Analysis

Understanding Clinical Data Analysis ◽

10.1007/978-3-319-39586-9_5 ◽

2016 ◽

pp. 97-118

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Data Analysis ◽

Failure Time ◽

Discrete Data ◽

Failure Time Data ◽

Time Data

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Gender Differences in Teaching and Research Performance of University Teachers Based on Discrete Data Analysis

Discrete Dynamics in Nature and Society ◽

10.1155/2021/5066668 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Hong Ding

Keyword(s):

Gender Differences ◽

Data Analysis ◽

Research Performance ◽

Discrete Data ◽

Men And Women ◽

Male And Female ◽

Teaching And Research ◽

Female Teachers ◽

Outstanding Teachers ◽

And Gender

Numerous studies have found that there were obvious differences between men and women in research performance, but there is little analysis on teaching. At the same time, the existing studies did not classify the teacher sample but only analyzed the overall sample. This study takes both teaching and research into account, and the sample teachers from a certain university in China are divided into three groups such as outstanding teachers in teaching, outstanding teachers in research, and weak teachers in both teaching and research through cluster analysis based on the discrete data analysis of teaching and research workload from 2018 to 2020. The gender differences in teaching and research performance of male and female teachers in every group are analyzed. It is found that there are obvious differences between male and female teachers in the three groups. By analyzing the correlation between male and female teaching and research performance and gender, age, education, and degree of three groups, it is also found that there are differences between men and women in the correlation of individual factors such as degree and type of graduation university. Based on the results, this paper provides several policy recommendations.

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