scholarly journals Critical factors in the chi-square test of independence: A technique for exploratory data analysis

1982 ◽  
Vol 19 (4) ◽  
pp. 225-226 ◽  
Author(s):  
L. W. Buckalew ◽  
W. H. Pearson
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Critical Factors ◽  
Chi Square ◽  
Test Of Independence ◽  
Chi Square Test ◽  
Exploratory Data

New Approximations for the Percentage Points of the Chi-Square Distribution

1994 ◽  
Vol 8 (1) ◽  
pp. 135-146 ◽  
Author(s):  
Jinn-Tyan Lin
Keyword(s):  
Data Analysis ◽  
Degrees Of Freedom ◽  
Exploratory Data Analysis ◽  
Tail Probability ◽  
Chi Square ◽  
Percentage Points ◽  
Exploratory Data

Techniques of exploratory data analysis are used in the construction of simple approximations for the percentage points of the chi-square distribution. The approximations are direct functions of the degrees of freedom and the tail probability. They are more accurate than Hoaglin's approximations.

Assessing Systematic Bias in Museum Collections

2013 ◽  
Vol 1 (2) ◽  
pp. 77-90 ◽  
Author(s):  
Angela C. Huster
Keyword(s):  
Data Analysis ◽  
Side Effects ◽  
Exploratory Data Analysis ◽  
Systematic Bias ◽  
Museum Collections ◽  
Chi Square ◽  
Spindle Whorls ◽  
Exploratory Data ◽  
Metric Traits

AbstractArchaeologists often overlook museum collections for research purposes due to concerns about the representativeness of the artifacts in the collection. Such concerns can be addressed by comparing non-scientifically produced collections to collections of known standing, such as those from more modern projects, using the same exploratory data analysis and basic statistical methods that archaeologists use to compare sets of artifacts in other situations. As a case study, this article compares spindle whorls recovered during the 2007 excavations at the Aztec site of Calixtlahuaca with two museum collections of whorls attributed to the site. A variety of metric and non-metric traits were recorded for each item in the three collections and were compared using Kolmogrov-Smirnov, Chi-square, and Fisher's exact tests. Both museum collections show a bias toward more elaborately decorated pieces, but with varying side effects on other attributes of analytical interest.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Covid-19 Cases in India: A Visual Exploratory Data Analysis Model (Preprint)

2020 ◽  
Author(s):  
Jayesh S
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Case Fatality ◽  
Public Health Emergency ◽  
Virus Spread ◽  
Analysis Model ◽  
Case Fatality Ratio ◽  
First Case ◽  
Exploratory Data ◽  
The Government

UNSTRUCTURED Covid-19 outbreak was first reported in Wuhan, China. The deadly virus spread not just the disease, but fear around the globe. On January 2020, WHO declared COVID-19 as a Public Health Emergency of International Concern (PHEIC). First case of Covid-19 in India was reported on January 30, 2020. By the time, India was prepared in fighting against the virus. India has taken various measures to tackle the situation. In this paper, an exploratory data analysis of Covid-19 cases in India is carried out. Data namely number of cases, testing done, Case Fatality ratio, Number of deaths, change in visits stringency index and measures taken by the government is used for modelling and visual exploratory data analysis.

Relationship of Workload and Double Role With Work Fatigue on Batik Craftsmen

2019 ◽  
Vol 4 (2) ◽  
pp. 293
Author(s):  
Herdianti Herdianti ◽  
Tatik Maryana
Keyword(s):  
Data Analysis ◽  
Quantitative Research ◽  
Sampling Technique ◽  
Work Load ◽  
Dual Role ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Chi Square Test ◽  
Almost All

<p><em><em>Background: In Batik Mawar, almost all work is done manually using the hands and upper arms on a continuous basis combined with the rigor of work and the use of traditional tools. The work has a heavy workload because all the work process is done by the same craftsman causing fatigue besides that the worker also have double role. The purpose of this study is to determine the relationship between workload and dual role with feelings of fatigue on craftsmen batik roses.Method: This research is Quantitative research with Cross Sectional research design. The population in this study are all artisans in Batik Mawar. Sampling in this study using total sampling technique with the number of research samples as many as 40 respondents. Data analysis used by Univariat and Bivariat.Result: Result of data analysis using Chi-Square test for work load got value p-Value = 0,001. The result of data analysis using Chi-square test for double role got p-value = 0,031. Thus it is concluded that there is a meaningful relationship between workload and dual role with feeling tired. We recommend that craftsmen wash clothes 2 times a day, cook ready meals, other than together in completing the work at home</em></em></p><p><em><br /></em></p><p><em>Di Batik Mawar, hampir semua pekerjaan dikerjakan secara manual menggunakan tangan dan lengan atas secara berkesinambungan yang dikombinasi dengan ketelitian kerja dan penggunaan alat-alat tradisional. Pekerjaan mempunyai beban kerja yang berat dikarenakan semua proses kerja dilakukan oleh pengrajin yang sama sehingga menimbulkan kelelahan</em><em> disamping itu pekerjanya juga memiliki peran ganda</em><em>.</em><em> Tujuan penelitian ini adalah untuk mengetahui hubungan beban kerja dan peran ganda dengan perasaan lelah pada pengrajin batik mawar.Metode: </em><em>Penelitian ini merupakan penelitian Kuantitatif dengan desain penelitian Cross Sectional. Populasi dalam penelitian ini adalah semua pengrajin di Batik Mawar. Pengambilan sampel pada penelitian ini menggunakan teknik total sampling dengan jumlah sampel penelitian sebanyak 40 responden. Analisis data yang digunakan Univariat dan Bivariat.</em><em>Hasil: </em><em>Hasil analisis data yang menggunakan uji Chi-Square untuk beban kerja didapatkan nilai p-Value = 0,001. Hasil analisis data yang menggunakan uji Chi-square untuk peran ganda didapatkan nilai p-value= 0,031. Dengan demikian  disimpulkan bahwa ada hubungan yang bermakna antara beban kerja dan peran ganda dengan perasaan lelah.Sebaiknya pengrajin mencuci pakaian 2 kali sehari, memasak makanan siap saji, selain itu dengan cara bersama-sama dalam menyelesaikan pekerjaan dirumah.</em><em></em></p><strong><em></em></strong>

scholarly journals Multivariate Statistical Approach for Nephrines in Women with Obesity

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1393
Author(s):  
Ralitsa Robeva ◽  
Miroslava Nedyalkova ◽  
Georgi Kirilov ◽  
Atanaska Elenkova ◽  
Sabina Zacharieva ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Data Analysis ◽  
Stress Response ◽  
Exploratory Data Analysis ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Obese Women ◽  
Exploratory Data

Catecholamines are physiological regulators of carbohydrate and lipid metabolism during stress, but their chronic influence on metabolic changes in obese patients is still not clarified. The present study aimed to establish the associations between the catecholamine metabolites and metabolic syndrome (MS) components in obese women as well as to reveal the possible hidden subgroups of patients through hierarchical cluster analysis and principal component analysis. The 24-h urine excretion of metanephrine and normetanephrine was investigated in 150 obese women (54 non diabetic without MS, 70 non-diabetic with MS and 26 with type 2 diabetes). The interrelations between carbohydrate disturbances, metabolic syndrome components and stress response hormones were studied. Exploratory data analysis was used to determine different patterns of similarities among the patients. Normetanephrine concentrations were significantly increased in postmenopausal patients and in women with morbid obesity, type 2 diabetes, and hypertension but not with prediabetes. Both metanephrine and normetanephrine levels were positively associated with glucose concentrations one hour after glucose load irrespectively of the insulin levels. The exploratory data analysis showed different risk subgroups among the investigated obese women. The development of predictive tools that include not only traditional metabolic risk factors, but also markers of stress response systems might help for specific risk estimation in obesity patients.

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